-
AI Security
Understanding Data Poisoning: How It Compromises Machine Learning Models
Data poisoning is a targeted form of attack wherein an adversary deliberately manipulates the training data to compromise the efficacy of machine learning models. The training phase of a machine learning model is particularly vulnerable to this type of attack…
Read More » -
AI Security
Semantic Adversarial Attacks: When Meaning Gets Twisted
Semantic adversarial attacks represent a specialized form of adversarial manipulation where the attacker focuses not on random or arbitrary alterations to the data but specifically on twisting the semantic meaning or context behind it. Unlike traditional adversarial attacks that often…
Read More » -
AI Security
The AI Alignment Problem
The AI alignment problem sits at the core of all future predictions of AI’s safety. It describes the complex challenge of ensuring AI systems act in ways that are beneficial and not harmful to humans, aligning AI goals and decision-making…
Read More » -
Quantum Computing Modalities
Quantum Computing Modalities: Acoustic (Phononic) Quantum Systems
Quantum acoustic quantum computing refers to using quantized mechanical vibrations – phonons – to store and process quantum information. Instead of relying on photons (particles of light) or electronic states of atoms, this modality leverages units of sound (vibrations in…
Read More » -
Research
Intel’s Tunnel Falls: 24,000 Quantum Chips Per Wafer and the Manufacturing Argument Made Real
22 Jun 2023 - Every conversation about silicon spin qubits eventually arrives at the same claim: because these qubits are essentially single-electron transistors, they can be manufactured using the same processes that produce billions of classical transistors every year. The…
Read More » -
Quantum Computing
Fidelity in Quantum Computing
Fidelity in quantum computing measures the accuracy of quantum operations, including how effectively a quantum computer can perform calculations without errors. In quantum systems, noise and decoherence can degrade the coherence of quantum states, leading to errors and reduced computational…
Read More » -
Quantum Computing
Quantum Technology Use Cases in Supply Chain & Logistics
Quantum computing is on the cusp of reshaping the supply chain and logistics sector. Its ability to process information in fundamentally new ways holds the promise of solving the longstanding puzzles of logistics – from finding optimal delivery routes and…
Read More » -
Quantum Security & PQC
BIS Project Leap: Quantum‑Proofing Payments With Hybrid PQC Is Feasible – Now Comes the Hard Part
The Bank for International Settlements (BIS) has released a report under Project Leap demonstrating - via a realistic central‑bank payments connectivity experiment - that post‑quantum cryptography (PQC) can be deployed today in a hybrid mode without breaking core operational expectations for secure inter‑site connectivity.…
Read More » -
Post-Quantum, PQC, Quantum Security
Harvest Now, Decrypt Later (HNDL) Risk
"Harvest Now, Decrypt Later" (HNDL), also known as "Store Now, Decrypt Later" (SNDL), is a concerning risk where adversaries collect encrypted data with the intent to decrypt it once quantum computing becomes capable of breaking current encryption methods. This is…
Read More » -
Post-Quantum, PQC, Quantum Security
Post-Quantum Cryptography PQC Challenges
The transition to post-quantum cryptography is a complex, multi-faceted process that requires careful planning, significant investment, and a proactive, adaptable approach. By addressing these challenges head-on and preparing for the dynamic cryptographic landscape of the future, organizations can achieve crypto-agility…
Read More » -
Industry
New World Record: Twin-Field QKD Achieved Over 1,000 km Fiber Link
Chinese scientists have shattered the distance record for quantum key distribution (QKD) by successfully exchanging secure cryptographic keys across 1,002 kilometers of optical fiber – more than double the previous record. In a landmark experiment published in Physical Review Letters, a…
Read More » -
AI Security
A (Very) Brief History of AI
As early as the mid-19th century, Charles Babbage and Ada Lovelace created the Analytical Engine, a mechanical general-purpose computer. Lovelace is often credited with the idea of a machine that could manipulate symbols in accordance with rules and that it…
Read More » -
AI Security
Understanding and Addressing Biases in Machine Learning
While ML offers extensive benefits, it also presents significant challenges, among them, one of the most prominent ones is biases in ML models. Bias in ML refers to systematic errors or influences in a model's predictions that lead to unequal…
Read More » -
Quantum Computing
Quantum Errors and Quantum Error Correction (QEC) Methods
Quantum error correction (QEC) is therefore critical for enabling large-scale or fault-tolerant quantum computing. Fault tolerance means a quantum computer can continue to operate correctly even when individual operations or qubits error out. Unlike classical error correction – which can…
Read More » -
Post-Quantum, PQC, Quantum Security
Quantum Era Demands Changes to ALL Enterprise Systems
In my work with various clients, I frequently encounter a significant misunderstanding about the scope of preparations required to become quantum ready. Many assume that the transition to a post-quantum world will be straightforward, involving only minor patches to a…
Read More »
