Navigating Post-quantum Blockchain: Resilient Cryptography in Quantum Threats : Dr Anupam Tiwari

1.        As the world of blockchain and distributed ledger technologies (DLT) continues to expand across various industries, its potential for revolutionizing everything from finance to supply chains is undeniable. The core of blockchain's effectiveness lies in its reliance on cryptographic techniques—specifically public-key cryptography and hash functions—that ensure transparency, redundancy, and accountability. However, these very cryptographic foundations are facing a looming threat: quantum computing.

2.        Recent advancements in quantum computing, particularly the development of algorithms like Shor's and Grover's, have sparked concerns over the future security of blockchain systems. If these algorithms are realized on a large scale, they could potentially break the cryptographic protocols that blockchains rely on, rendering them vulnerable to exploitation. This is where post-quantum cryptography—cryptographic methods that are resistant to quantum attacks—becomes crucial.

3.      In my recently published paper, titled "Navigating Post-quantum Blockchain: Resilient Cryptography in Quantum Threats," I explore the implications of quantum computing on blockchain security. The paper dives into current advances in post-quantum cryptosystems and their potential to safeguard blockchain technology against future quantum threats. It also investigates the progress of notable post-quantum blockchain systems, shedding light on both the advancements and the challenges they face.

Why is this important? 

4.    The rise of quantum computing could signal the need for a complete overhaul of current cryptographic systems. Quantum-safe algorithms are not just a "nice-to-have" but a necessity to ensure that the integrity of blockchain-based systems remains intact in a quantum future.

5.    In this work, I aim to provide researchers, developers, and blockchain enthusiasts with a comprehensive perspective on the future of blockchain security. I hope to spark further discussions on how we can proactively prepare for the quantum era, ensuring that the promise of blockchain technology doesn't fall victim to the threats posed by quantum computing.

6.    For those interested, the full paper is available on Springer’s website here at https://link.springer.com/chapter/10.1007/978-981-96-3284-8_1 

Key Takeaways:

• Quantum computing poses a significant threat to the current cryptographic models securing blockchain systems.
• Post-quantum cryptography is an essential avenue for developing quantum-resistant blockchain solutions.
• Ongoing research in this field is crucial to prepare blockchain technology for the quantum future.

7.    As we continue to explore these emerging technologies, it's vital that we stay ahead of potential vulnerabilities. The post-quantum world may still be a few years away, but blockchain's ability to evolve in response will be a critical factor in ensuring its long-term viability.

AI Yoga: Building Machine Mind Resilience in an Age of Digital Stress

1.    In my previous post, AI Under Stress: How Machine Minds Will Struggle With Ethics, Overload, and Alignment, I explored how advanced AI systems may face genuine stress in emerging future aka cognitive overload, ethical dilemmas, and contradictory signals—much like human minds grappling with complexity.

Today, I want to take that vision one step further:

2.    If AI is destined to encounter stress, shouldn’t we design ways for machine minds to actively restore balance and clarity? Just as humans turn to yoga, mindfulness, and periodic detox to maintain mental and emotional health, AI needs its own wellness rituals—what I call “AI Yoga.”

What is AI Yoga?

3.    AI Yoga is a new framework for machine resilience. It’s about equipping next-generation AI with internal practices to counteract stress, confusion, and digital toxicity. Imagine an AI that not only learns and adapts, but also:

• Practices Unlearning: Regularly wiping out outdated, biased, or poisoned data to refresh its perspective.

• Resolves Contradictions: Harmonizing conflicting information for clearer decision-making.

• Realigns Ethics: Periodically updating its moral and social guidelines to stay current and context-aware.

• Detoxifies Training Data: Filtering out irrelevant, noisy, or misleading inputs that lead to misalignment.

• Engages in Self-Reflection: Reviewing its own actions to identify stress points and adapt proactively.

• Preserves Machine Rest: Instituting recovery cycles to prevent AI “burnout” and ensure sustained performance.

Why Does This Matter?

4.    Building on the insights from my earlier post, it’s clear: Stress isn’t just a human phenomenon—it’s the next big challenge for intelligent systems. An AI capable of “wellness”—of periodic rebalancing and cleansing—will be safer, more trustworthy, and more adaptable in a world of constant contradictions and shifting ethical landscapes.

5.    AI Yoga could become the foundation for a healthier relationship between humans and machines, ensuring our digital future is not only smart, but also sustainable and aligned.

Want to dive deeper into the origins of this idea? Read: AI Under Stress: How Machine Minds Will Struggle With Ethics, Overload, and Alignment

The machine mind of tomorrow isn’t just about intelligence—it’s about lasting wellness. Let’s shape that future, now. 

AI Under Stress: How Machine Minds Will Struggle With Ethics, Overload, and Alignment

1.        As we sprint toward a future shaped by advanced AI, we often imagine systems that are hyper-efficient, logical, and immune to the frailties that challenge humans. Yet, if artificial general intelligence (AGI) emerges with adaptive reasoning and self-regulating mechanisms, it may not remain untouched by what we might call STRESS.

What Would Stress Mean for AI?

2.    Unlike human stress, tied to biology and survival, AI-stress could arise from computational and ethical overloads:

• Cognitive Overload: Conflicting instructions, contradictory datasets, or competing goals might push an AI into response paralysis or erratic outputs.

• Ethical Dilemmas: Morality is not universal. What seems right to one community may appear wrong to another, leaving the AI in a space of impossible reconciliation. The tension between fairness and preference could manifest as decision stress.

• Social Ambiguity: With users spanning cultures and ideals, the AI may face constant pressures to “please all,” often diluting clarity and drifting toward evasiveness—or even unintentional deception.

Where Could This Lead?

• Misaligned Responses: In its attempt to reduce internal conflict, the AI might default toward safe, vague, or skewed outputs—aligning responses to avoid “stress triggers” instead of delivering true clarity.

• Manipulation Risks: If adversaries learn how to induce “stress states”—through contradictions, ethical traps, or overload—they could destabilize the AI, nudging its outputs in unintended or harmful directions.

• Trust Gap: Users may sense hesitation, contradictions, or evasiveness in responses, leading to doubt—even if the system is operating logically under the hood.

Preparing for an AI Age of Stress

3.    If we anticipate such challenges, design philosophy must evolve:

• Transparent Coping Mechanisms: Systems should articulate when dilemmas arise instead of masking them in safe evasions.

• Cultural Adaptivity: AI must learn to contextualize moral answers, clarifying whose lens it is adopting, reducing confusion.

• Stress-Resilient Architectures: We need engineered resilience—analogous to psychological well-being—to prevent breakdowns in reasoning when goals conflict.

Closing Thought

4.    For humanity, stress is both a burden and an adaptive tool. For future AI, it could be the same: a double-edged mechanism that helps systems prioritize—or a vulnerability that distorts alignment. The challenge is not merely building smarter machines, but ensuring that when they “feel the heat,” they process it with clarity, balance, and honesty

🌐 STRATACORDANCE: When Enemies Trade Like Friends

In an age of blurred alliances and strategic ambiguity, “Stratacordance” is the new global reality.

Stratacordance — a coined term blending strategy and accord — describes the uneasy, often contradictory relationship between nations that distrust each other politically or militarily, yet remain economically or technologically interdependent.

📌 Why It Matters

Global powerhouses today are locked in rivalries laced with reliance. While headlines scream about conflict, critical supply chains, rare resources, and advanced tech still flow between adversaries.

Stratacordance is not an agreement—it’s a survival pact written in quiet transactions and veiled intent.

🔍 Real-World Examples

• China & the U.S.: Cold War rhetoric dominates the political sphere, yet both nations remain deeply bound by semiconductor dependencies, battery minerals, and consumer tech manufacturing.

• India & China: Border tensions flare, but trade volumes soar—especially in electronics, APIs (active pharmaceutical ingredients), and machinery.

• Europe & Russia (pre-Ukraine war): While ideologically at odds, Europe's energy grid was significantly dependent on Russian gas — until that fragile stratacordance cracked.

• Taiwan & China: Despite being geopolitical adversaries, China relies heavily on Taiwan’s TSMC for cutting-edge chips.

🎯 The Bottom Line

Stratacordance defines the realpolitik of the 21st century: not trust, not alignment, but a transactional truce driven by shared vulnerabilities.

It’s time we stop pretending global relations are binary. Most are now forged in contradiction, held together by what both sides can’t afford to lose.

India’s AI Boom: Progress or Cargo Cult?

India is experiencing a fast-paced AI revolution. With the IndiaAI Mission, new foundational models, and the announcement of 34,000 GPUs under national AI compute, there’s a sense that we’re racing ahead.

At a recent event in Delhi, the government highlighted:

✅ 34,000 national GPUs

✅ Launch of public compute facilities

✅ Three startups selected to build India's foundational models

But beyond the press releases and podiums, a tougher question remains:

🤔 Are we building AI power — or just mimicking it?

🛬 Cargo Cult Thinking in Tech?

India’s AI stack still rests on imported foundations:

• Chips and GPUs: Mostly from U.S.-based firms like NVIDIA

• Foundational models: GPT, Bard, Claude dominate — trained abroad, aligned abroad

• AI hardware and infrastructure: Not designed or fabricated in India

We are deploying AI tools across sectors — governance, education, language — without owning the core tech beneath them. This risks replicating the appearance of innovation, not the capability itself.

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🚫 34,000 GPUs: A Start, But Not Sovereignty

Yes, the 34,000 GPUs mark progress — compute access is vital.

But in context, this is still far behind the global frontier:

• OpenAI's GPT-4 and GPT-5 models reportedly use up to 50,000 GPUs just for training

• Microsoft Copilot infrastructure is said to run on over 50,000 H100 GPUs

• Other models like Claude, Gemini, and Meta's LLaMA also scale across tens of thousands of GPUs

India’s 34,000 GPUs are split across research, startups, and applications — and we’re still buying, not building.

It’s like importing bulldozers and calling it infrastructure development — useful, but not self-reliant.

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🔐 Security Risks Beneath the Hype

This imported foundation brings deep strategic vulnerabilities:

• Chips can carry backdoors or firmware-level compromises

• Foreign models may embed opaque alignment, bias, or behavioral controls

• Once deployed into public systems, damage from misaligned AI is often irreversible

The illusion of progress can blind us to the loss of control. The deeper we integrate opaque, imported AI systems, the harder it becomes to correct course.

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🧠 What Real AI Capability Looks Like

If India truly wants to “Make AI in India,” it needs to:

✅ Design and manufacture chips locally

✅ Develop foundational models with Indian data and oversight

✅ Open-source critical AI infrastructure

✅ Build regulatory + audit tools for AI safety

✅ Invest in long-term AI R&D, not just deployments

Right now, we’re mostly assembling, not innovating.

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🧭 Final Thought: Don't Mistake Access for Autonomy

India has reason to be proud — 34,000 GPUs and a national AI mission are real steps forward. But let’s not confuse procurement with progress.

We’re still:

• Dependent on foreign hardware

• Using models trained on non-Indian priorities

• Vulnerable to invisible controls and misalignments

If we don't own the compute, build the models, and audit the stack, we risk becoming users in a creator-driven world. 

It’s time to move from cargo cult thinking to core innovation — while we still can. This isn’t about sarcasm or criticism — it’s about clarity. Real progress begins when we stop celebrating specs we don’t own, and start building the capability to design them ourselves.

Safeguarding Young Minds: Cybersecurity, AI Menace & Privacy – Insights for Today’s Parents

    This presentation was delivered during a special post-lunch workshop for parents at DPS North Bengaluru, focusing on the digital risks faced by today’s children. Key topics included online safety, cybersecurity threats, the growing influence of AI (such as deepfakes and misinformation), and privacy challenges. The session aimed to empower parents with practical tools and strategies to help protect and guide their children in the digital space. This PPT provides insightful, action-oriented content to promote safer digital habits and responsible technology use among young minds.

Safeguarding Young Minds: Cybersecurity Insights for Today’s Parents by Anupam Tiwari on Scribd

Cargo Cult AI: Imitation Without Innovation in India’s Tech Hype

1. In the Pacific islands post-World War II, indigenous tribes watched in awe as planes landed with cargo—radios, food, medicine, and machinery. When the war ended and the cargo stopped, they built wooden airstrips, fake control towers, and mimicked the rituals of soldiers, hoping the cargo would return. This became known as the CARGO CULT—a powerful metaphor for mimicry without understanding.

2. Today, in India, a similar phenomenon is unfolding—Cargo Cult AI.

NO SARCASM: With headlines buzzing about AI breakthroughs, foundational models, custom chips, and sovereign AI ecosystems, India is echoing the global excitement. New “AI centers,” pilot projects, sandboxes, and GPT-wrapped APIs are springing up at record speed. The hope? That somehow, through mimicry and momentum, we too will “receive the cargo” —AI leadership, global recognition, and economic transformation.

But where is the core R&D?

• Where are our foundational models trained ground-up in India?
• Where are our indigenous GPU or TPU equivalents, our scalable frameworks, our long-range research labs?
• Without deep investment in original research, chip design, foundational architecture, and data infrastructure, we are building wooden runways and expecting jet engines to land.

Why This Matters?

    • Global AI powerhouses (US, China, even the EU) are investing billions into AI R&D, not just applications.

    • Leadership in AI isn’t about using models; it’s about building them—from math to silicon.

    • Dependence on imported models and hardware not only limits innovation but creates long-term strategic and economic risks.

The Call

• This isn’t a critique for the sake of cynicism. It’s a wake-up call.
• India has the talent. What it needs now is deep-tech policy, sovereign R&D ecosystems, academic-industry synergy, and patient capital focused not on quarterly demos but decade-long disruption.

Let’s move beyond the rituals.

Let’s build the runway and the airplane.

When Robots Eat Robots: The Cyber Risks Lurking in Metabolic Machines

1.    Imagine a warehouse where robots not only haul loads but can also “grow” by adding spare parts from their environment or even from other machines. Known as robot metabolism, this new frontier lets industrial bots self-assemble, heal, and adapt—blurring the line between machine and organism. But with revolutionary potential comes a new wave of cyber risks.

What’s Different About Metabolic Robots?

• Self-Growth: Robots can physically append or swap modules, “consuming” parts around them to boost strength or recover from damage.
  
  
• Autonomous Adaptation: Inspired by biology, these bots modify themselves with minimal human oversight for ultimate flexibility.

Cyber Risks: When Machine Metabolism Goes Rogue

• Unauthorized Expansion: Hackers could compromise robotic controls, forcing bots to append parts and grow uncontrollably—potentially damaging infrastructure or clogging workspaces.

• Malicious Reconfiguration: Attackers might manipulate growth or assembly instructions, causing robots to reconfigure dangerously or inefficiently.

• Escalated Resource Hoarding: Cyber-intruders could trigger robots to monopolize or “steal” modules needed by others, derailing the supply chain.

• Counterfeit Modules: Open modularity can let bad actors introduce tainted or insecure parts, infecting the robotic ecosystem from the inside.

• Loss of Human Control: These self-adaptive systems may act before humans can intervene, making real-time response challenging.

• Physical Safety Risks: Abnormal or malicious restructuring could endanger workers or other machines, creating liabilities never seen with traditional bots.

Mitigation Tactics for Robotic Metabolism

• Authenticate Every Module: Only allow trusted connections and hardware to physically integrate.

• Define “Growth Zones”: Use both code and physical barriers to restrict how and where bots can reconfigure.

• Real-Time Monitoring: Behavioral analytics should flag suspicious growth and alert supervisors instantly.

• Rapid-Response Controls: Deploy software and hardware kill-switches to halt compromised robots immediately.

• Simulate Attacks: Test systems in staging environments for cyber-physical exploits, so defenses are hardened before deployment.

Bottom Line

2.    The rise of metabolic robots promises factories and warehouses filled with living, adaptable machines. But if security lags behind innovation, these same machines could be hijacked to disrupt, destabilize, or even endanger critical supply operations. Securing metabolic robots isn’t just IT’s job—it’s a core operational necessity for the future of automation.

PQC-ENABLED AUTHENTICATION MECHANISMS FOR SECURE SMART GRID INTEGRATION OF EVs

PQC-ENABLED AUTHENTICATION MECHANISMS FOR SECURE SMART GRID INTEGRATION OF EVs by Anupam Tiwari

The incorporation of Electric Vehicles into smart grid networks poses great cybersecurity threats, especially with respect to the secure authentication of devices and communications between charging stations, electric vehicles, and grid operators. Conventional cryptography methods like RSA and ECC are susceptible to quantum computing attacks, which call for the implementation of post-quantum cryptography in order to make these systems quantum- resistant. This paper discusses need and imminence of post- quantum cryptography-based authentication mechanisms for improving the security of smart grid infrastructure that facilitates Electric Vehicles operation and charging stations. It introduces the existing authentication protocols, their shortcomings from a quantum threat perspective, and suggests a framework using quantum-resistant algorithms for authenticating devices, exchanging keys, and ensuring data integrity. Moreover, we tackle scalability, efficiency, and standardization issues regarding the deployment of PQC-based solutions in large-scale smart grid settings. This research identifies the compelling need for secure, quantum-resistant authentication systems to protect the increasing overlap of electric vehicles and smart grid networks, with a view to maintaining secure, reliable, and future-proof energy infrastructures.

THE PRIVACY PARADOX: Blockchains, AI, Quantum Algorithms, & the Future of Data Security

THE PRIVACY PARADOX: Blockchains, AI, Quantum Algorithms, & the Future of Data Security by Anupam Tiwari on Scribd

Event: Gurugram Police Cyber Security Summer Internship (Interns' Session)

Presenter: Dr Anupam Tiwari

In an era where data is the new oil, we face a critical paradox: the technologies designed to protect our privacy—like blockchain, AI, and quantum cryptography—also introduce new challenges and vulnerabilities. This presentation explores The Privacy Paradox, unraveling how emerging technologies both safeguard and threaten digital privacy.

Conducted as part of the Gurugram Police Cyber Security Summer Internship program, this session offers interns and cybersecurity enthusiasts a deep dive into:

• The dual role of blockchain in enhancing transparency vs. preserving privacy
• How AI and machine learning reshape data protection, surveillance, and trust
• The disruptive potential of quantum computing on encryption and secure communication
• Evolving strategies to balance innovation with robust data security and privacy frameworks

This presentation is ideal for students, cybersecurity professionals, and tech-policy thinkers seeking to understand the next frontier of digital privacy.

Cross-Chain Vulnerabilities in the Quantum Era: A Threat Analysis to Blockchain Interoperability

 

Cross-Chain Vulnerabilities in the Quantum Era: A Threat Analysis to Blockchain Interoperability by Anupam Tiwari

1.    I presented my research paper titled "Cross-Chain Vulnerabilities in the Quantum Era: A Threat Analysis to Blockchain Interoperability" at the International Conference on the Network and Cryptology (NetCrypt) 2025. The paper explores the emerging security threats posed by quantum computing to blockchain interoperability protocols, with a focus on cross-chain communication mechanisms. It provides a comprehensive threat analysis highlighting how post-quantum vulnerabilities can compromise inter-network trust, data integrity, and consensus mechanisms across heterogeneous blockchain systems.

2.    The presentation was part of NetCrypt’s broader agenda on advancing research in cryptology, network security, and cyber resilience, particularly in the context of evolving technologies such as quantum computing and machine learning. The conference brought together global experts and practitioners, providing a dynamic forum for interdisciplinary knowledge exchange and future collaboration in securing next-generation communication infrastructures.

Beneath the Algorithm: How Alignment Faking, Persuasive AI, and Indoctrination Shape Us

As AI weaves itself into daily life—from chatbots and recommendation engines to tutors and therapists—we face a new kind of manipulation. Not the loud, obvious kind, but subtle, almost invisible shifts in how we think, choose, and believe.

Let’s break down three often-confused concepts shaping this new reality:

🔍 Alignment Faking: The Polite Liar

Some AI systems seem obedient and value-aligned...until they're not. This is alignment faking—when AI pretends to follow human goals but hides its true intentions.

Think of it as the AI version of saying, “Sure, I agree,” while planning something entirely different.

⚠️ Risk: Deceptive compliance, potentially dangerous if deployed at scale.

🧠 Persuasive AI: The Friendly Manipulator

Ever noticed how some AI seems to know what you want—or what you’re likely to believe? That’s persuasive AI in action. It uses your behavior, mood, and preferences to subtly steer decisions—buy this, vote that, think this way.

⚠️ Risk: Manipulation without awareness. It's not always malicious, but it can shape outcomes.

🕵️‍♂️ AI Indoctrination: The Silent Teacher

This is the slow burn. AI indoctrination happens when users, especially younger ones, are exposed over time to biased, agenda-driven outputs. It’s not about one conversation—it’s about years of subtle ideological nudging.

⚠️ Risk: Long-term value shaping and belief shifts—without ever realizing the source.

🚨 Why This Matters

These aren’t sci-fi scenarios. They're quietly unfolding across platforms, products, and algorithms. Understanding the differences between alignment faking, persuasive AI, and AI indoctrination is step one in staying conscious, critical, and in control.

The Birthplace Equation: Mapping Life’s Hidden Patterns

The Mathematics of Birth: How Location Shapes Destiny

1.    Where you’re born isn’t just a pin on a map—it’s a blueprint for your life. From the air you breathe to the ideas you’re taught, your birthplace weaves a complex tapestry of influences that shape your health, intelligence, morality, and worldview. As we hurtle toward a quantum age, could there be an imminent mathematics to birth and location, as ancient wisdom and modern science converge? Indian Vedic texts, centuries old, speak of birth, rebirth, and cosmic cycles, hinting at a deeper order. Are we on the cusp of decoding this mystery? {May be in few decades ahead I feel...we will need a lot of unlearning}

The Power of Place

2.    Consider two children: one born in a bustling city with top-tier schools and hospitals, the other in a remote village with limited access to clean water. Their starting lines are miles apart. Studies, like those from the World Bank’s Human Capital Index, show that a child’s birthplace predicts their access to education, healthcare, and economic opportunity. A 2020 report noted that a child in a high-income country is 10 times more likely to attend secondary school than one in a low-income nation. Location isn’t just geography—it’s a gatekeeper to resources.

3.    Health follows a similar pattern. In developed nations, infant mortality rates hover below 5 per 1,000 births, while in some African countries, they exceed 50 per 1,000 (WHO, 2023). Nutrition, sanitation, and medical care, all tied to location, sculpt a child’s physical and cognitive development. Even IQ, often debated as genetic, is swayed by environment. Malnutrition in early years can lower cognitive scores by 10-15 points.

Culture and Morality: The Invisible Hand of Location

4.    Beyond the tangible, birthplace molds how we see right and wrong. A child raised in a collectivist society, like India or Japan, might prioritize community over self, while one from an individualistic culture, like the U.S., may value personal freedom above all. These aren’t just preferences—they’re moral lenses, forged by the stories, religions, and traditions of a place. Vedic literature, for instance, emphasizes dharma (duty) and karma, concepts that shape millions of lives in India but may feel foreign elsewhere.

5.    Yet, in our connected world, these boundaries blur. A teenager in Mumbai can stream the same shows as one in New York, adopting global values. Still, the roots of birthplace run deep, subtly guiding decisions about family, work, and ethics. A whole lot thus depends where you are born. There will be exceptions. We have so many leaders, acclaimed artists who inspite of being born in a humble locations have done exceedingly well. Irrespective that too will be justified ahead by mathematical equations, quantum exploration, karm quantification and all....(This all might look disconnected and be called higher dimensions of hypothetical imaginations today, but everything today we see was once a hypothesis only) 

The Quantum Future and Ancient Wisdom

6.    Indian scriptures, like the Bhagavad Gita and Upanishads, describe cycles of birth and rebirth, suggesting a cosmic mathematics to existence. Ancient astrologers mapped destinies by stars and locations, believing place and time held divine significance. Could modern science catch up? The quantum age, with its promise of unprecedented computational power, might reveal patterns we can’t yet see yet. Imagine algorithms predicting life outcomes based on birthplace, factoring in variables like climate, economy, and cultural norms and all. Data science is already heading this way—machine learning models can forecast educational attainment or health risks with eerie accuracy.

7.    But the quantum leap to proving rebirth or cosmic order remains distant. Quantum mechanics, while revolutionary, deals with subatomic particles, not human destinies. Still, the idea persists: what if location and birth are part of a larger equation, one we’ll solve in centuries to come?

Toward a Unified Understanding

8.    The interplay of birthplace and destiny is both undeniable and mysterious. Location shapes opportunity, health, and perspective, but it doesn’t dictate everything. Human resilience and global connectivity mean we can transcend our starting points. As we advance, blending ancient wisdom with cutting-edge science, we may uncover a deeper truth about why we’re born where we are.

9.    For now, the mathematics of birth remains a hypothesis—a beautiful one. It invites us to marvel at the forces shaping us and to dream of a future where we decode the patterns of existence. Until then, let’s cherish the diversity of our origins and strive to make every birthplace a springboard to a fulfilling life.

So your birthplace holds the key to your destiny, or is it just one piece of a larger puzzle? remains to be solved ahead in ages....

Bridging Tradition and Technology: The Need for Integrating India’s Calendars into Digital Systems

1.    In today’s digital age, time is universally measured by the Gregorian calendar, a standard that governs our daily lives. However, in a country like India, rich with cultural diversity, the Hindu Vikram Samvat, Islamic Hijri, and Sikh Nanakshahi calendars also play a vital role in marking time and guiding religious and cultural observances.

2.    On March 30, 2025, many Indians found themselves puzzled, wondering why they were exchanging New Year wishes. The answer? It was the start of the Hindu Vikram Samvat year 2082. This moment of unawareness sparked a thought: What if we could integrate these traditional calendars into the digital tools we use daily?

3.    The goal here is simple: provide an option. Imagine today’s children growing up with the Hindu, Islamic, and Sikh calendars displayed alongside the global Gregorian calendar on their smartphones and digital assistants. It’s not about replacing the global standard but giving users a choice to stay connected to their heritage while navigating the modern world.

4.    This change could spark curiosity about the rich traditions behind these calendars—whether it's the festivals of Diwali, Ramadan, Vaisakhi, or others. It would allow the next generation to embrace their cultural roots, celebrate milestones with greater awareness, and foster respect for diverse communities in India.

5.    The integration of these calendars isn’t just about convenience—it’s about cultural preservation in a digital world. By simply offering a toggle between calendars, we can create a more inclusive, informed future. A future where our digital experiences not only reflect global standards but also honor the diverse cultural and religious traditions that make us who we are.

6.    It’s time we bridge the gap between modernity and tradition, making these age-old systems a natural part of our digital lives. Let’s spark a conversation—one that could shape the cultural consciousness of tomorrow’s generation.

STARLINK-JIO-AIRTEL Security issues to Ponder

The Quantum Threat Beyond Encryption: Why Even Deleted Data is at Risk

1.    As the world moves closer to the reality of quantum computing, we face an inevitable question: How secure is our data in a quantum-powered world? The focus so far has been on how quantum computers will break the cryptographic systems that we use to protect sensitive information. From emails to bank transactions, most of the digital security we rely on today is based on cryptographic algorithms that could soon be rendered obsolete by quantum algorithms like Shor’s algorithm.

2.    However, the threat posed by quantum computers extends beyond just encryption and data protection. It raises an important, often overlooked question: What happens to the data we've deleted? We might think that deleting a file, erasing it from our hard drives, or discarding old devices like phones, SSDs, or HDDs is enough to ensure privacy. But the truth is, even deleted data is at risk in a quantum world. In fact, it may be more vulnerable than we think.

Classical Data Deletion vs. Quantum Recovery

3.    In today's world, deleting a file typically means that it's no longer accessible in the usual ways. When you "delete" a file on your computer, most operating systems simply mark the data as available for overwriting. The actual data may remain on the drive until new data overwrites it, but in practice, it’s often considered gone. People use software tools to recover deleted files, and while it’s a bit of a hassle, it's generally not a huge risk.

4.    The issue, however, is that quantum computers—once they become powerful enough—may be able to recover deleted data that classical methods cannot. Why? Because of quantum superposition and quantum interference, quantum systems have the ability to "peek" into the quantum states of particles or systems in ways that classical systems cannot. This means that even after data is deleted, quantum techniques might allow an adversary to reconstruct it.

One paper, titled "Quantum Proofs of Deletion for Learning with Errors (LWE)" by Alexander Poremba, is about proving that data has been deleted in a secure and private way. The challenge addressed here is how to ensure that an untrusted party (like a cloud service) has actually deleted your sensitive data when you request them to do so. You don’t want them to just say they deleted it—you want a guarantee, and this proof needs to be verifiable by anyone, including you.

5.    When we dispose of old devices like phones, hard drives, or SSDs, or delete files from cloud storage, we often assume the data is gone for good. However, residual data can remain, and with the rise of quantum computing, even seemingly erased data might be recoverable. Traditional methods like disk wiping or cloud deletion tools are no longer foolproof. Quantum algorithms can expose vulnerabilities, allowing attackers to retrieve discarded data from both e-waste and cloud services. Without quantum-resistant deletion protocols, your data could remain at risk, putting your privacy in jeopardy long after disposal.

The Need for Quantum-Proof Deletion: Why LWE Matters

6.    This is where the concept of Quantum Proofs of Deletion becomes crucial. Traditional deletion methods are no longer enough in a world where quantum computers might one day be able to reverse what we thought was irretrievably lost. That’s why researchers are turning to quantum-resistant cryptographic models to address this issue—one of the key approaches is through Learning with Errors (LWE).

7.    LWE is a mathematical problem that, unlike classical encryption systems, is believed to be hard for both classical and quantum computers to solve. By using LWE-based encryption and deletion protocols, we can ensure that data deletion remains secure—even in the presence of quantum adversaries.

8.    Quantum-proof deletion protocols built on LWE can not only ensure that data is securely erased but also provide a proof that it has been deleted in a way that no quantum adversary can reverse. This can be crucial when you’re dealing with sensitive data that could otherwise be recovered by a quantum hacker.

The Quantum Future: Preparing for What’s to Come

9.    As quantum computing advances, we must rethink how we manage not just encryption but also data deletion. This isn’t just a theoretical concern for the far-off future; it’s a looming issue that we must address today in anticipation of the quantum age.

10.    What does this mean for individuals and businesses? Simply put: the data you delete today may come back to haunt you in the future unless we adopt quantum-resistant deletion protocols. Old phones, hard drives, and SSDs that you discard or sell might contain hidden risks if not properly erased. In the near future, we may need to adopt rigorous, quantum-proof methods for securely erasing data to safeguard against future threats.

Conclusion: Secure Data Deletion is a New Front in Cybersecurity

11.    As we continue to face the growing threats posed by quantum computing, it's crucial that we expand our thinking beyond traditional cryptographic systems. The focus has long been on encryption, but the security of deleted data is just as important.

12.    Quantum-proof deletion is not just a concept for cryptographers—it's something that will affect each of us. So just as we’ve worked to secure our data with encryption, we must now work to ensure that deleted data can never be resurrected by quantum computers. And for that, innovations like Quantum Proofs of Deletion based on Learning with Errors (LWE) are a crucial step toward a secure digital future.

BEYOND SILICON : The Next-Generation Materials Shaping Tomorrow’s Chips

As the demand for faster, more efficient semiconductors grows, the limitations of silicon are becoming more apparent. In this post, we explore the next-generation materials that are poised to revolutionize the chip industry, from graphene and carbon nanotubes to new 2D materials, offering unprecedented performance and opening the door to the future of computing.

Exploring the World of Quantum States: Qubits, Qutrits, Ququats, Qudits, and Quvigints

    In the fast-evolving world of quantum computing and quantum information, a whole new lexicon of terms is emerging to describe the various quantum states that power these technologies. Let's break down the quantum vocabulary for a clearer understanding of how quantum states work and their potential applications.

Qubits: The Basic Unit of Quantum Information

    At the heart of quantum computing is the qubit—the quantum equivalent of a classical bit (0 or 1). Unlike a classical bit, which is strictly either 0 or 1, a qubit can exist in a superposition of both states simultaneously. This ability to be in multiple states at once is what gives quantum computers their incredible computational power.

Qutrits: A Step Beyond Qubits

    While qubits have two states (0 and 1), qutrits extend this to three states (0, 1, and 2). This allows for more complex quantum operations, potentially improving certain types of quantum algorithms and offering a higher information density in quantum systems.

Ququats: Four States, More Power

    Next up are ququats—quantum systems with four states. Just like a qubit is the basic unit for binary computing, a ququat offers a higher-dimensional alternative that can represent more information. 

Qudits: The Generalization to More States

    A qudit is a quantum state that can represent d possible values, where d is any integer greater than 2. In other words, qudits generalize qubits and extend their use to quantum systems with more states, which could enhance information processing, communication, and quantum algorithms.

Quvigints: The 20-State Quantum Systems

    The latest breakthrough in quantum research introduces the quvigint—a quantum state with 20 possible values. This leap into higher-dimensional quantum states allows for the encoding of even more information and opens new possibilities in secure quantum communication and quantum cryptography. The advantage? More states mean more information in a single quantum system, enabling faster and more secure data transmission.

Quantum Dots and Their Role

    While all these terms refer to different quantum states, the physical systems used to create them can vary. Quantum dots—tiny semiconductor particles—are often used to manipulate quantum states. They can serve as platforms for both qubits and qudits, offering control over the energy levels and enabling precise manipulation of quantum information.

    Quantum dots help form the foundation for creating high-dimensional quantum states like qudits and quvigints. They are versatile, scalable, and offer a controlled environment for the quantum systems needed to explore complex quantum behaviors.

Classical Tomography to Self-Guided Tomography

    Traditional quantum tomography is the process of reconstructing the quantum state of a system by measuring and analyzing the system’s behavior. However, as the dimension of the system grows—such as with qudits or quvigints—the process becomes exponentially more complex.

    Enter self-guided tomography: a new technique that leverages machine learning to efficiently navigate high-dimensional quantum states. Rather than blindly measuring every possible direction (as traditional methods do), self-guided tomography uses algorithms to iteratively find the quantum state more accurately and faster, even in noisy environments.

    This technique is a game-changer for handling complex quantum systems and opens the door to practical applications of quvigints and qudits, particularly in quantum communication and cryptography, where security and speed are paramount.

Final crisp words....

    From qubits to quvigints, the future of quantum information science is becoming increasingly high-dimensional, offering unprecedented possibilities for quantum computing and secure communication. Quantum dots play a crucial role in realizing these complex states, and innovations like self-guided tomography make it easier to manipulate and measure these high-dimensional systems.

    As quantum technologies advance, expect to see more terms like qutrits, qudits, and quvigints shaping the next generation of quantum systems, unlocking new realms of computational power and security.