Figures: Depth of quantum circuit required for implementing two types of quantum algorithms: [Left] QAOA (NISQ) and [Right] QPE (FTQC): Compared to conventional technology, Classiq platform reduced circuitry length by up to 54% in QAOA […]
Quantum 8, 1561 (2024). https://doi.org/10.22331/q-2024-12-11-1561 A spin (qubit) is in contact with a bosonic reservoir. The state of the reservoir contains a parameter $varepsilon$ interpolating between quantum and classical reservoir features. We derive the explicit […]
Quantum 8, 1560 (2024). https://doi.org/10.22331/q-2024-12-11-1560 Tensor networks provide succinct representations of quantum many-body states and are an important computational tool for strongly correlated quantum systems. Their expressive and computational power is characterized by an underlying […]
Quantum 8, 1559 (2024). https://doi.org/10.22331/q-2024-12-11-1559 In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum computation, where a […]
Insider Brief A new hypothesis suggests that space-time itself stores quantum information, potentially resolving the Black Hole Information Paradox. The Quantum Memory Matrix (QMM) framework embeds data within quantized space-time, preserving unitarity and reconciling quantum […]
Insider Brief Classiq Technologies, Deloitte Tohmatsu Group and Mitsubishi Chemical Corporation are working together to explore materials development in the chemical field, including new organic electroluminescent (EL) materials. A new study used quantum computers in search […]
Insider Brief Oxford Instruments NanoScience has installed three ProteoxMX dilution refrigerators at the UK’s National Quantum Computing Centre (NQCC), supporting the development of scalable superconducting qubit systems for quantum computing research at the Harwell Campus. […]
Insider Brief A new consortium, including ParityQC, DESY, eleQtron, and the DLR Quantum Computing Initiative, has received funding from the Hamburg Investment and Development Bank to develop a full-stack quantum solution for processing image data […]
Infleqtion has announced the first successful application of logical qubits in quantum materials science, achieving a sixfold boost in computational accuracy for materials design. Conducted with the University of Chicago and the University of Wisconsin, […]
Quantum Machines and Rigetti Computing successfully used AI-powered tools to automate the calibration of a 9-qubit Rigetti Novera™ quantum processor (QPU) integrated with Quantum Machines’ advanced control system, OPX1000. This milestone was achieved during the […]
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