IonQ laid out its five-year roadmap for trapped ion quantum computers and plans to achieve broad quantum advantage by 2025. The company plans to deploy rack-mounted modular quantum computers small enough to be networked together
Generating high-quality data (e.g., images or video) is one of the most exciting and challenging frontiers in unsupervised machine learning. Utilizing quantum computers in such tasks to potentially enhance conventional machine learning algorithms has emerged
Amazon Braket now supports PennyLane, an open source software framework for hybrid quantum computing. Pennylane provides interfaces to common machine learning libraries, including PyTorch and TensorFlow. It’s now possible to train quantum circuits in the same
D-Wave has just announced a cross-system software tool providing interoperability between quantum annealing and gate-model quantum computers. The open-source plugin allows developers to map quadratic optimization inputs in IBM’s Qiskit format onto D-Wave’s quadratic unconstrained
Tunneling is a fundamental quantum process with no classical equivalent, which can compete with Coulomb interactions to give rise to complex phenomena. Phosphorus dopants in silicon can be placed with atomic precision to address the
Kudelski Security, the cybersecurity division within the Swiss Kudelski Group, announced today the launch of a new focus on Quantum Security, including expanded research and advisory services that enable security leaders and product and system
Solid-state qubits with transition frequencies in the microwave regime, such as superconducting qubits, are at the forefront of quantum information processing. However, high-fidelity, simultaneous control of superconducting qubits at even a moderate scale remains a
At an Intel Labs virtual event today, Intel unveiled Horse Ridge II, its second-generation cryogenic control chip, marking another milestone in the company’s progress toward overcoming scalability, one of quantum computing’s biggest hurdles. Building on
Ultrafast chemical reactions are difficult to simulate because they involve entangled, many-body wavefunctions whose computational complexity grows rapidly with molecular size. In photochemistry, the breakdown of the Born-Oppenheimer approximation further complicates the problem by entangling
Researchers at the University of Michigan, University of Regensburg and University of Marburg propose a new tool that uses light to map out the electronic structures of crystals. This could reveal the capabilities of emerging
