Search Results - "Coles, Patrick J."

Noise-induced barren plateaus in variational quantum algorithms by Wang, Samson, Fontana, Enrico, Cerezo, M., Sharma, Kunal, Sone, Akira, Cincio, Lukasz, Coles, Patrick J.

“…Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers. A natural question is whether…”
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Cost function dependent barren plateaus in shallow parametrized quantum circuits by Cerezo, M., Sone, Akira, Volkoff, Tyler, Cincio, Lukasz, Coles, Patrick J.

“…Variational quantum algorithms (VQAs) optimize the parameters θ of a parametrized quantum circuit V ( θ ) to minimize a cost function C . While VQAs may enable…”
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Noise resilience of variational quantum compiling by Sharma, Kunal, Khatri, Sumeet, Cerezo, M, Coles, Patrick J

“…Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is…”
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Learning the quantum algorithm for state overlap by Cincio, Lukasz, Suba, Yi it, Sornborger, Andrew T, Coles, Patrick J

“…Short-depth algorithms are crucial for reducing computational error on near-term quantum computers, for which decoherence and gate infidelity remain important…”
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Absence of Barren Plateaus in Quantum Convolutional Neural Networks by Pesah, Arthur, Cerezo, M., Wang, Samson, Volkoff, Tyler, Sornborger, Andrew T., Coles, Patrick J.

“…Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by…”
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Generalization in quantum machine learning from few training data by Caro, Matthias C., Huang, Hsin-Yuan, Cerezo, M., Sharma, Kunal, Sornborger, Andrew, Cincio, Lukasz, Coles, Patrick J.

“…Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making…”
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Barren Plateaus Preclude Learning Scramblers by Holmes, Zoë, Arrasmith, Andrew, Yan, Bin, Coles, Patrick J., Albrecht, Andreas, Sornborger, Andrew T.

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Numerical approach for unstructured quantum key distribution by Coles, Patrick J., Metodiev, Eric M., Lütkenhaus, Norbert

“…Quantum key distribution (QKD) allows for communication with security guaranteed by quantum theory. The main theoretical problem in QKD is to calculate the…”
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Variational consistent histories as a hybrid algorithm for quantum foundations by Arrasmith, Andrew, Cincio, Lukasz, Sornborger, Andrew T., Zurek, Wojciech H., Coles, Patrick J.

“…Although quantum computers are predicted to have many commercial applications, less attention has been given to their potential for resolving foundational…”
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Practical Hamiltonian learning with unitary dynamics and Gibbs states by Gu, Andi, Cincio, Lukasz, Coles, Patrick J.

“…We study the problem of learning the parameters for the Hamiltonian of a quantum many-body system, given limited access to the system. In this work, we build…”
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Uncertainty relations from simple entropic properties by Coles, Patrick J, Colbeck, Roger, Yu, Li, Zwolak, Michael

“…Uncertainty relations provide constraints on how well the outcomes of incompatible measurements can be predicted, and as well as being fundamental to our…”
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Variational quantum state diagonalization by LaRose, Ryan, Tikku, Arkin, O’Neel-Judy, Étude, Cincio, Lukasz, Coles, Patrick J.

“…Variational hybrid quantum-classical algorithms are promising candidates for near-term implementation on quantum computers. In these algorithms, a quantum…”
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Self-Referenced Continuous-Variable Quantum Key Distribution Protocol by Soh, Daniel B. S., Brif, Constantin, Coles, Patrick J., Lütkenhaus, Norbert, Camacho, Ryan M., Urayama, Junji, Sarovar, Mohan

“…We introduce a new continuous-variable quantum key distribution (CV-QKD) protocol, self-referenced CV-QKD, that eliminates the need for transmission of a…”
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Out-of-distribution generalization for learning quantum dynamics by Caro, Matthias C., Huang, Hsin-Yuan, Ezzell, Nicholas, Gibbs, Joe, Sornborger, Andrew T., Cincio, Lukasz, Coles, Patrick J., Holmes, Zoë

“…Generalization bounds are a critical tool to assess the training data requirements of Quantum Machine Learning (QML). Recent work has established guarantees…”
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Variational quantum state eigensolver by Cerezo, M., Sharma, Kunal, Arrasmith, Andrew, Coles, Patrick J.

“…Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The variational…”
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Variational quantum eigensolver with reduced circuit complexity by Zhang, Yu, Cincio, Lukasz, Negre, Christian F. A., Czarnik, Piotr, Coles, Patrick J., Anisimov, Petr M., Mniszewski, Susan M., Tretiak, Sergei, Dub, Pavel A.

“…The variational quantum eigensolver (VQE) is one of the most promising algorithms to find eigenstates of a given Hamiltonian on noisy intermediate-scale…”
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Sifting attacks in finite-size quantum key distribution by Pfister, Corsin, Lütkenhaus, Norbert, Wehner, Stephanie, Coles, Patrick J

“…A central assumption in quantum key distribution (QKD) is that Eve has no knowledge about which rounds will be used for parameter estimation or key…”
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Quantum preparation uncertainty and lack of information by Rozp dek, Filip, Kaniewski, J drzej, Coles, Patrick J, Wehner, Stephanie

“…The quantum uncertainty principle famously predicts that there exist measurements that are inherently incompatible, in the sense that their outcomes cannot be…”
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Long-time simulations for fixed input states on quantum hardware by Gibbs, Joe, Gili, Kaitlin, Holmes, Zoë, Commeau, Benjamin, Arrasmith, Andrew, Cincio, Lukasz, Coles, Patrick J., Sornborger, Andrew

“…Publicly accessible quantum computers open the exciting possibility of experimental dynamical quantum simulations. While rapidly improving, current devices…”
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Trainability of Dissipative Perceptron-Based Quantum Neural Networks by Sharma, Kunal, Cerezo, M, Cincio, Lukasz, Coles, Patrick J

“…Several architectures have been proposed for quantum neural networks (QNNs), with the goal of efficiently performing machine learning tasks on quantum data…”
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