Parameterized quantum circuits are a key component of quantum machine learning models for regression, classification, and generative tasks. Quantum Circuit Born machines produce discrete distributions ...

Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, ...

As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category ...

Google Quantum AI and Keysight joined forces to enhance Quantum circuit simulations with frequency-domain flux quantization Provides an extended library of quantum devices and a robust circuit design ...

Researchers created scalable quantum circuits capable of simulating fundamental nuclear physics on more than 100 qubits. These circuits efficiently prepare complex initial states that classical ...

Quantum Circuits recently raised $60 million in a new funding round and they have just announced a new unique superconducting hardware system drives more efficiency with error-detecting dual-rail ...

Quantum Circuits Inc., a spinout from Yale University building a novel quantum computing platform, today announced it has raised more than $60 million in an early ...

D-Wave Quantum targets 100 logical qubits by 2032, leveraging its Quantum Circuits acquisition. Read the full analysis on ...

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Quantum Circuits Inc. (QCI) has closed its Series B funding round, raising more than $60 million to further its development of quantum technology. The investment was led by Arch Venture Partners, ...