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Efficient and robust estimation of non|classical effects in quantum ...


Demonstration of Robust and Efficient Quantum Property Learning ...

Randomized measurements, or classical shadows, enable predicting many properties of arbitrary quantum states using few measurements. While ...

(PDF) Efficient and robust estimation of many-qubit Hamiltonians

Characterizing the interactions and dynamics of quantum mechanical systems is an essential task in the development of quantum technologies.

Robust adaptive quantum phase estimation - IOPscience

Among other related works, [13] proposed a robust quantum observer for uncertain linear quantum systems and [14] considered robustness in the context of ...

Estimation and control of open quantum systems – Q-COAST - ANR

Although the theory has evolved a lot, there are still many unanswered questions regarding optimality, robustness, and best design methods for dealing with ...

QALG: Quantum Algorithms Track — Accepted Technical Papers

Understanding the effects of data encoding on quantum-classical convolutional ... A Comparative Analysis of Adversarial Robustness for Quantum and Classical.

Efficient and robust estimation of many-qubit Hamiltonians - PubMed

Characterizing the interactions and dynamics of quantum mechanical systems is an essential task in developing quantum technologies.

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

... impact of quantum noise on circuit fidelity and improving the quantum circuit compilation efficiency. ... classical simulation cost and efficiently estimate ...

‪Matthew Girling‬ - ‪Google 학술 검색‬

Efficient and robust estimation of non-classical effects in quantum devices. MJ Girling. University of Leeds, 2023. 2023 ...

‪Matthew Girling‬ - ‪Google Scholar‬

Cited by ; Efficient and robust estimation of non-classical effects in quantum devices. MJ Girling. University of Leeds, 2023. 2023 ...

Non-Markovian Quantum Process Tomography | Institute for Robust ...

Crucially, this means keeping up with complex correlated — or non-Markovian — effects ... These are not only efficient, but expressive enough to ...

Probing Quantum Efficiency: Exploring System Hardness in ...

These calculations were carried out with a state-vector simulator using classical compute to simulate the VQE optimization in a noiseless, ...

Publications - QunaSys

The variational quantum eigensolver (VQE) stands as a prominent quantum-classical hybrid algorithm for near-term quantum computers to obtain the ground states ...

Efficient methods for including quantum effects in Monte Carlo ...

We present a procedure to calculate ensemble averages, thermodynamic derivatives, and coordinate distributions by effective classical potential methods.

Demonstration of quantum-enhanced rangefinding robust against ...

The original framework for quantum illumination proposed by Lloyd [15] demonstrated that by exploiting entanglement it was possible to out-perform classical ...

A Hybrid Quantum-Classical Algorithm for Robust Fitting

The combinatorial subproblems are amenable to a quan- tum annealer, which helps to tighten the bound efficiently. While our usage of quantum computing does not ...

Research Publications | Google Quantum AI

Measurement and Feed Forward Induced Entanglement Negativity Transition · Zero and finite temperature quantum simulations powered by quantum magic · Local minima ...

[PDF] Efficient energy transfer in light-harvesting systems

The quantum-classical comparison of the average trapping time with the removal of the bottleneck site, BChl 4, demonstrates the robustness of the efficient ...

Energy-scales convergence for optimal and robust quantum ...

employ an efficient technique to estimate ... quantum effects for highly efficient and robust excitonic en- ... not-trivial quantum mechanical effects due to non- ...

Provably efficient machine learning for quantum many-body problems

A central question is whether classical ML algorithms can provably outperform non-ML algorithms in challenging quantum many-body problems. We ...

Connections Between Multicalibration and Doubly Robust Estimation

David Bruns-Smith (UC Berkeley) https://simons.berkeley.edu/talks/david-bruns-smith-uc-berkeley-2023-04-28 Multigroup Fairness and the ...