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EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the “quantum neural networks,” to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing.

Imagine a world where computers can unravel the mysteries of quantum mechanics, enabling us to study the behavior of complex materials or simulate the intricate dynamics of molecules with unprecedented accuracy.

Thanks to a pioneering study led by Professor Zoe Holmes and her team at EPFL, we are now closer to that becoming a reality. Working with researchers at Caltech, the Free University of Berlin, and the Los Alamos National Laboratory, they have found a new way to teach a quantum computer how to understand and predict the behavior of quantum systems. The research has been published in Nature Communications.

A Personal Perspective: Revolutionizing our understanding of consciousness.

Camera sensitive enough to spot a single photon finally achieved by researchers in colorado.

A team of researchers from the National Institute of Standards and Technology in Boulder, Colorado, has successfully developed a super-sensitive camera capable of detecting a single photon.

This remarkable achievement opens up new avenues for scientific exploration and holds significant potential for applications in quantum computing, communications, space exploration, and medical research.

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Have you ever been compelled to enter sensitive payment data on the website of an unknown merchant? Would you be willing to consign your credit card data or passwords to untrustworthy hands? Scientists from the University of Vienna have now designed an unconditionally secure system for shopping in such settings, combining modern cryptographic techniques with the fundamental properties of quantum light. The demonstration of such “quantum-digital payments” in a realistic environment has been published in Nature Communications.

Digital payments have replaced physical banknotes in many aspects of our daily lives. Similar to banknotes, they should be easy to use, unique, tamper-resistant and untraceable, but additionally withstand digital attackers and data breaches.

In today’s payment ecosystem, customers’ sensitive data is substituted by sequences of random numbers, and the uniqueness of each transaction is secured by a classical cryptographic method or code. However, adversaries and merchants with powerful computational resources can crack these codes and recover the customers’ private data, and for example, make payments in their name.

The term ‘quantum computer’ gets usually tossed around in the context of hyper-advanced, state-of-the-art computing devices, but much as how a 19th century mechanical computer, a discrete computer created from individual transistors, and a human being are all computers, the important quantifier is how fast and accurate the system is at the task, whether classical or quantum computing. This is demonstrated succinctly by [Davide ‘dakk’ Gessa] with 200 lines of BASIC code on a Commodore 64 (GitHub), implementing a range of quantum gates.

Much like a transistor in classical computing, the qubit forms the core of quantum computing, and we have known for a long time that a qubit can be simulated, even on something as mundane as an 8-bit MPU. Ergo [Davide]’s simulations of various quantum gates on a C64, ranging from Pauli-X, Pauli-Y, Pauli-Z, Hadamard, CNOT and SWAP, all using a two-qubit system running on a system that first saw the light of day in the early 1980s.

Naturally, the practical use of simulating a two-qubit system on a general-purpose MPU running at a blistering ~1 MHz is quite limited, but as a teaching tool it’s incredibly accessible and a fun way to introduce people to the world of quantum computing.

Quantum computing has long been heralded as the next frontier in computing. However, despite their immense potential, quantum computers today still make too many errors to be useful.

While it may become possible to correct these errors in the future, there is still a long way to go to reach fault tolerance. For now, the best strategy is to minimize errors and mitigate their impact on quantum computations by devising methods that can work with the existing quantum hardware.

Continue reading “QEDMA Quantum Computing: Shaping the Future of Quantum Operating Systems” »

In this informative and engaging video, we explore the fascinating world of quantum computing and its untapped potential. We delve into the challenges of building quantum computers and how artificial intelligence can help us overcome these challenges.

Whether you’re an AI or quantum computing enthusiast, or simply curious about the future of technology, this video is a must-watch. Join us as we unlock the potentials of quantum computing with AI and discover the limitless possibilities that lie ahead.

Continue reading “Unlocking The Potentials of Quantum Computing With AI” »

In a significant leap for the field of quantum computing, Google has reportedly engineered a quantum computer that can execute calculations in mere moments that would take the world’s most advanced supercomputers nearly half a century to process.

The news, reported by the Daily Telegraph, could signify a landmark moment in the evolution of this emerging technology.

Quantum computing, a science that takes advantage of the oddities of quantum physics, remains a fast-moving and somewhat contentious field.

Google claims to have proved its supremacy over conventional machines with new quantum computer.

Google has developed a quantum computer that instantly makes calculations that would take the best existing supercomputers 47 years, in a breakthrough meant to establish beyond doubt that the experimental machines can outperform conventional rivals.

A paper from researchers at Google published online claims that the company’s latest technology is “beyond the capabilities of existing classical supercomputers”.