The threat landscape is being shaped by two seismic forces. To future-proof their organizations, security leaders must take a proactive stance with a zero trust approach. AI and quantum technologies are dramatically reconfiguring how cybersecurity functions, redefining the speed and scale with which digital defenders and their adversaries can operate. The weaponization of AI tools for cyberattacks is already proving a worthy opponent to current defenses. This includes using generative AI to create social engineering attacks at scale, churning out tens of thousands of tailored phishing emails in seconds, or accessing widely available voice cloning software capable of bypassing security defenses for as little as a few dollars. And now, agentic AI raises the stakes by introducing autonomous systems that can reason, act, and adapt like human adversaries.

Will quantum be bigger than AI? There's an old adage among tech journalists like me - you can either explain quantum accurately, or in a way that people understand, but you can't do both. That's because quantum mechanics - a strange and partly theoretical branch of physics - is a fiendishly difficult concept to get your head around. It involves tiny particles behaving in weird ways. And this odd activity has opened up the potential of a whole new world of scientific super power. Its mind-boggling complexity is probably a factor in why quantum has ended up with a lower profile than tech's current rockstar - artificial intelligence (AI).

This study introduces the Quantum Federated Neural Network for Financial Fraud Detection (QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and quantum computing with Federated Learning (FL) for financial fraud detection. Using quantum technologies' computational power and the robust data privacy protections offered by FL, QFNN-FFD emerges as a secure and efficient method for identifying fraudulent transactions within the financial sector. Implementing a dual-phase training model across distributed clients enhances data integrity and enables superior performance metrics, achieving precision rates consistently above 95%. Additionally, QFNN-FFD demonstrates exceptional resilience by maintaining an impressive 80% accuracy, highlighting its robustness and readiness for real-world applications. This combination of high performance, security, and robustness against noise positions QFNN-FFD as a transformative advancement in financial technology solutions and establishes it as a new benchmark for privacy-focused fraud detection systems. This framework facilitates the broader adoption of secure, quantum-enhanced financial services and inspires future innovations that could use QML to tackle complex challenges in other areas requiring high confidentiality and accuracy.

The bin packing is a well-known NP-Hard problem in the domain of artificial intelligence, posing significant challenges in finding efficient solutions. Conversely, recent advancements in quantum technologies have shown promising potential for achieving substantial computational speedup, particularly in certain problem classes, such as combinatorial optimization. In this study, we introduce QAL-BP, a novel Quadratic Unconstrained Binary Optimization (QUBO) formulation designed specifically for bin packing and suitable for quantum computation. QAL-BP utilizes the Augmented Lagrangian method to incorporate the bin packing constraints into the objective function while also facilitating an analytical estimation of heuristic, but empirically robust, penalty multipliers. This approach leads to a more versatile and generalizable model that eliminates the need for empirically calculating instance-dependent Lagrangian coefficients, a requirement commonly encountered in alternative QUBO formulations for similar problems. To assess the effectiveness of our proposed approach, we conduct experiments on a set of bin packing instances using a real Quantum Annealing device. Additionally, we compare the results with those obtained from two different classical solvers, namely simulated annealing and Gurobi. The experimental findings not only confirm the correctness of the proposed formulation, but also demonstrate the potential of quantum computation in effectively solving the bin packing problem, particularly as more reliable quantum technology becomes available.

Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. Pronouns: (show all) Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. The European quantum computing sector might be the most exciting field in tech. Funding is at an all-time high and the number of quantum startups is increasing year over year. Yet the global media tends to portray the EU and UK as potential runners up in the supposed quantum computing race.

The government's campaign to fight "misinformation" has expanded to adapt military-grade artificial intelligence once used to silence the Islamic State (ISIS) to quickly identify and censor American dissent on issues like vaccine safety and election integrity, according to grant documents and cyber experts. The National Science Foundation (NSF) has awarded several million dollars in grants recently to universities and private firms to develop tools eerily similar to those developed in 2011 by the Defense Advanced Research Projects Agency (DARPA) in its Social Media in Strategic Communication (SMISC) program. DARPA said those tools were used "to help identify misinformation or deception campaigns and counter them with truthful information," beginning with the Arab Spring uprisings in the the Middle East that spawned ISIS over a decade ago. The initial idea was to track dissidents who were interested in toppling U.S.-friendly regimes or to follow any potentially radical threats by examining political posts on Big Tech platforms. Mike Benz, executive director of the Foundation for Freedom Online has compiled a report detailing how this technology is being developed to manipulate the speech of Americans via the National Science Foundation (NSF) and other organizations.

Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. Pronouns: (show all) Tristan is a futurist covering human-centric artificial intelligence advances, quantum computing, STEM, physics, and space stuff. It's 2022 and the near billion-dollar quantum computing sector has gone from a passion project for forward-thinking physicists to a thriving B2B industry. Experts predict the market for quantum technologies will quadruple in value by 2029. Simply put there's never been a better time than right now for potential jobseekers to get in on what, arguably, could be the greatest technological revolution since the advent of the internet.

On a hot summer's morning in July, Robert Oppenheimer stood in a control bunker in New Mexico and watched the results of his Manhattan Project burn the desert sand, transforming it into a mild but lightly radioactive green glass. Years later, when asked what went through his head when he saw that great grey cloud rise out of the sand, he said he was reminded of Hindu Scripture, the line from Vishnu: 'Now I am become Death, the destroyer of worlds'. Although, according to his brother, what he actually said after seeing the bomb explode was: 'I guess it worked'. As romantic as the potential of science can be, there is also a banality to the discoveries and inventions that shape our world. It is irrefutable that the atomic bomb changed the trajectory of the 20th century, ending the Second World War and fuelling the Cold War between the Soviet Union and the United States, and their proxies.

Compounding the danger is the lack of any AI regulation. Instead, unaccountable technology conglomerates, such as Google and Meta, have assumed the roles of judge and jury in all things AI. They are silencing dissenting voices, including their own engineers who warn of the dangers. The world's failure to rein in the demon of AI--or rather, the crude technologies masquerading as such--should serve to be a profound warning. There is an even more powerful emerging technology with the potential to wreak havoc, especially if it is combined with AI: quantum computing.

Recently, I had the honor of addressing the "Commercialising Quantum" conference on how organisations should prepare for quantum today, held under the stewardship of The Economist's editors. My message was that some aspects of quantum technologies are on the horizon, and we should be prepared to invest ensure that quantum capabilities for economic prosperity and national security are developed accordingly.