
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
Optimizing highly complex cost/energy functions over discrete variables ...
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Power of data in quantum machine learning
The use of quantum computing for machine learning is among the most exci...
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Learnability and Complexity of Quantum Samples
Given a quantum circuit, a quantum computer can sample the output distri...
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TensorFlow Quantum: A Software Framework for Quantum Machine Learning
We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
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Learning NonMarkovian Quantum Noise from MoiréEnhanced Swap Spectroscopy with Deep Evolutionary Algorithm
Twolevelsystem (TLS) defects in amorphous dielectrics are a major sour...
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Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation
Noisy IntermediateScale Quantum (NISQ) computers aim to perform computa...
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Quantum Supremacy Is Both Closer and Farther than It Appears
As quantum computers improve in the number of qubits and fidelity, the q...
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Barren plateaus in quantum neural network training landscapes
Many experimental proposals for noisy intermediate scale quantum devices...
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Sergio Boixo
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