controlled NOT gate
PulseAugur coverage of controlled NOT gate — every cluster mentioning controlled NOT gate across labs, papers, and developer communities, ranked by signal.
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AlphaCNOT framework learns to minimize CNOT gates in quantum circuits
Researchers have developed AlphaCNOT, a novel reinforcement learning framework that utilizes Monte Carlo Tree Search to optimize quantum circuits. This model-based approach aims to minimize the number of CNOT gates, whi…
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Quantum SVMs benchmarked for credit card fraud detection
A new research paper explores the effectiveness of Quantum Kernel Support Vector Machines (QSVM) for credit card fraud detection, a task complicated by the rarity of fraudulent transactions. The study benchmarks three q…
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AlphaClifford uses RL to optimize quantum circuit synthesis
Researchers have developed AlphaClifford, a novel framework utilizing model-based Reinforcement Learning and Monte Carlo Tree Search to optimize the synthesis and transpilation of Clifford circuits in quantum computing.…
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New quantum circuit uses 12 CNOT gates, improving on SOTA
Researchers have developed a new quantum computing circuit that implements a double qubit excitation operator using 12 CNOT gates. This represents an improvement over previous state-of-the-art methods, which required 13…
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Reinforcement learning disentangles multiqubit quantum states
Researchers have developed a novel deep reinforcement learning approach to create efficient disentangling circuits for quantum states. This method utilizes partial observations, specifically two-qubit reduced density ma…
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DistributedEstimator trains quantum neural networks via circuit cutting
Researchers have developed DistributedEstimator, a system designed to train quantum neural networks by decomposing large quantum circuits into smaller, manageable subcircuits. This method involves partitioning, subexper…