Search Results - "Cincio, Lukasz"

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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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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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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Error mitigation with Clifford quantum-circuit data by Czarnik, Piotr, Arrasmith, Andrew, Coles, Patrick J., Cincio, Lukasz

“…Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise. For this purpose, we propose…”
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Quantum-assisted quantum compiling by Khatri, Sumeet, LaRose, Ryan, Poremba, Alexander, Cincio, Lukasz, Sornborger, Andrew T., Coles, Patrick J.

“…Compiling quantum algorithms for near-term quantum computers (accounting for connectivity and native gate alphabets) is a major challenge that has received…”
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Effect of barren plateaus on gradient-free optimization by Arrasmith, Andrew, Cerezo, M., Czarnik, Piotr, Cincio, Lukasz, Coles, Patrick J.

“…Barren plateau landscapes correspond to gradients that vanish exponentially in the number of qubits. Such landscapes have been demonstrated for variational…”
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Haldane-Hubbard Mott Insulator: From Tetrahedral Spin Crystal to Chiral Spin Liquid by Hickey, Ciarán, Cincio, Lukasz, Papić, Zlatko, Paramekanti, Arun

“…Motivated by cold atom experiments on Chern insulators, we study the honeycomb lattice Haldane-Hubbard Mott insulator of spin-1/2 fermions using exact…”
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Variational Quantum Fidelity Estimation by Cerezo, Marco, Poremba, Alexander, Cincio, Lukasz, Coles, Patrick J.

“…Computing quantum state fidelity will be important to verify and characterize states prepared on a quantum computer. In this work, we propose novel lower and…”
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Precise Extrapolation of the Correlation Function Asymptotics in Uniform Tensor Network States with Application to the Bose-Hubbard and XXZ Models by Rams, Marek M., Czarnik, Piotr, Cincio, Lukasz

“…We analyze the problem of extracting the correlation length from infinite matrix product states (MPS) and corner transfer matrix (CTM) simulations. When the…”
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Machine Learning of Noise-Resilient Quantum Circuits by Cincio, Lukasz, Rudinger, Kenneth, Sarovar, Mohan, Coles, Patrick J.

“…Noise mitigation and reduction will be crucial for obtaining useful answers from near-term quantum computers. In this work, we present a general framework…”
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Variational fast forwarding for quantum simulation beyond the coherence time by Cîrstoiu, Cristina, Holmes, Zoë, Iosue, Joseph, Cincio, Lukasz, Coles, Patrick J., Sornborger, Andrew

“…Trotterization-based, iterative approaches to quantum simulation (QS) are restricted to simulation times less than the coherence time of the quantum computer…”
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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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An Adaptive Optimizer for Measurement-Frugal Variational Algorithms by Kübler, Jonas M., Arrasmith, Andrew, Cincio, Lukasz, Coles, Patrick J.

“…Variational hybrid quantum-classical algorithms (VHQCAs) have the potential to be useful in the era of near-term quantum computing. However, recently there has…”
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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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Unified approach to data-driven quantum error mitigation by Lowe, Angus, Gordon, Max Hunter, Czarnik, Piotr, Arrasmith, Andrew, Coles, Patrick J., Cincio, Lukasz

“…Achieving near-term quantum advantage will require effective methods for mitigating hardware noise. Data-driven approaches to error mitigation are promising,…”
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Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers by Liu, Xiaoyuan, Angone, Anthony, Shaydulin, Ruslan, Safro, Ilya, Alexeev, Yuri, Cincio, Lukasz

“…Combinatorial optimization on near-term quantum devices is a promising path to demonstrating quantum advantage. However, the capabilities of these devices are…”
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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 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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