Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
A Hybrid Quantum-Classical Algorithm for Robust Fitting
Anh-Dzung Doan, M. Sasdelli, D. Suter +1 more·Jan 25, 2022
Fitting geometric models onto outlier contaminated data is provably intractable. Many computer vision systems rely on random sampling heuristics to solve robust fitting, which do not provide optimality guarantees and error bounds. It is therefore cri...
Reducing Circuit Depth in Adaptive Variational Quantum Algorithms via Effective Hamiltonian Theories.
Jie Liu, Zhenyu Li, Jinlong Yang·Jan 23, 2022
The electronic structure is an anticipated application for quantum computers. However, quantum circuits required to represent the highly entangled electronic wave functions within the variational quantum eigensolver (VQE) framework are far beyond the...
The Effect of the Width of the Incident Pulse to the Dielectric Transition Layer in the Scattering of an Electromagnetic Pulse—A Qubit Lattice Algorithm Simulation
G. Vahala, L. Vahala, Abhay K. Ram null +1 more·Jan 23, 2022
The effect of the thickness of the dielectric boundary layer that connects a material of refractive index $n_1$ to another of index $n_2$ is considered for the propagation of an electromagnetic pulse. For very thin boundary layer the scattering prope...
Amplitude Ratios and Neural Network Quantum States
Vojtěch Havlíček·Jan 22, 2022
Neural Network Quantum States (NQS) represent quantum wavefunctions by artificial neural networks. Here we study the wavefunction access provided by NQS defined in [Science, 355, 6325, pp. 602-606 (2017)] and relate it to results from distribution te...
Generalization metrics for practical quantum advantage in generative models
Kaitlin Gili, M. Mauri, A. Perdomo-Ortiz·Jan 21, 2022
As the quantum computing community gravitates towards understanding the practical benefits of quantum computers, having a clear definition and evaluation scheme for assessing practical quantum advantage in the context of specific applications is para...
Classical simulation of variational quantum classifiers using tensor rings
Dheeraj Peddireddy, V. Bansal, V. Aggarwal·Jan 21, 2022
In recent times, Variational Quantum Circuits (VQC) have been widely adopted to different tasks in machine learning such as Combinatorial Optimization and Supervised Learning. With the growing interest, it is pertinent to study the boundaries of the ...
Quantum Orbital Minimization Method for Excited States Calculation on a Quantum Computer.
Joel Bierman, Yingzhou Li, Jianfeng Lu·Jan 20, 2022
We propose a quantum-classical hybrid variational algorithm, the quantum orbital minimization method (qOMM), for obtaining the ground state and low-lying excited states of a Hermitian operator. Given parametrized ansatz circuits representing eigensta...
Simulating open quantum dynamics on an NMR quantum processor using the Sz.-Nagy dilation algorithm
Akshay Gaikwad, Arvind, K. Dorai·Jan 19, 2022
We experimentally implement the Sz.-Nagy dilation algorithm to simulate open quantum dynamics on an nuclear magnetic resonance (NMR) quantum processor. The Sz.-Nagy algorithm enables the simulation of the dynamics of arbitrary-dimensional open quantu...
Benchmarking Amplitude Estimation on a Superconducting Quantum Computer
Salvatore Certo, Anh Pham, D. Beaulieu·Jan 18, 2022
Amplitude Estimation (AE) is a critical subroutine in many quantum algorithms, allowing for a quadratic speedup in various applications like those involving estimating statistics of various functions as in financial Monte Carlo simulations. Much work...
Smolyak Algorithm Adapted to a System-Bath Separation: Application to an Encapsulated Molecule with Large-Amplitude Motions.
Ahai Chen, D. Benoit, Y. Scribano +2 more·Jan 15, 2022
A Smolyak algorithm adapted to system-bath separation is proposed for rigorous quantum simulations. This technique combines a sparse grid method with the system-bath concept in a specific configuration without limitations on the form of the Hamiltoni...
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Xing Ai, Zhihong Zhang, Luzhe Sun +2 more·Jan 13, 2022
Quantum machine learning is a fast-emerging field that aims to tackle machine learning using quantum algorithms and quantum computing. Due to the lack of physical qubits and an effective means to map real-world data from Euclidean space to Hilbert sp...
Error-robust quantum signal processing using Rydberg atoms
Sina Zeytinouglu, S. Sugiura·Jan 12, 2022
Rydberg atom arrays have recently emerged as one of the most promising platforms for quantum simulation and quantum information processing. However, as is the case for other experimental platforms, the longer-term success of the Rydberg atom arrays i...
Twist: sound reasoning for purity and entanglement in Quantum programs
Charles Yuan, C. McNally, Michael Carbin·Jan 11, 2022
Quantum programming languages enable developers to implement algorithms for quantum computers that promise computational breakthroughs in classically intractable tasks. Programming quantum computers requires awareness of entanglement, the phenomenon ...
Fast optimal structures generator for parameterized quantum circuits
Chuangtao Chen, Zhimin He, Shenggen Zheng +2 more·Jan 10, 2022
Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs) without using any prior experience, which is inefficient and time-consuming. Besides, the number...
Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays
Yue Wu, S. Kolkowitz, S. Puri +1 more·Jan 10, 2022
Executing quantum algorithms on error-corrected logical qubits is a critical step for scalable quantum computing, but the requisite numbers of qubits and physical error rates are demanding for current experimental hardware. Recently, the development ...
Study of the effect of quantum noise on the accuracy of the Schrödinger equation simulation on a quantum computer using the Zalka-Wiesner method
Yurii I. Bogdanov, N. Bogdanova, D. V. Fastovets +1 more·Jan 9, 2022
The study of the effect of quantum noise on the accuracy of modeling quantum systems on a quantum computer using the Zalka-Wiesner method is carried out. The efficiency of the developed methods and algorithms is demonstrated by the example of solving...
Orders of magnitude reduction in the computational overhead for quantum many-body problems on quantum computers via an exact transcorrelated method
I. O. Sokolov, Werner Dobrautz, Hongjun Luo +2 more·Jan 9, 2022
Transcorrelated methods provide an efficient way of partially transferring the description of electronic correlations from the ground state wavefunction directly into the underlying Hamiltonian. In particular, Dobrautz et al. [Phys. Rev. B, 99(7), 07...
Simulating molecules using the VQE algorithm on Qiskit
A. Anaya, F. Delgado·Jan 8, 2022
Introduction Feynman’s ideas to employ quantum systems for simulating other quantum systems [1] gave rise to quantum simulation [2]. While current quantum computers are still prone to decoherence and rely on error correction [3], the development of h...
Hybrid Quantum-Classical Unit Commitment
Reza Mahroo, A. Kargarian·Jan 7, 2022
This paper proposes a hybrid quantum-classical algorithm to solve a fundamental power system problem called unit commitment (UC). The UC problem is decomposed into a quadratic subproblem, a quadratic unconstrained binary optimization (QUBO) subproble...
Variational Quantum Simulation of Valence-Bond Solids
D. Huerga·Jan 7, 2022
We introduce a hybrid quantum-classical variational algorithm to simulate ground-state phase diagrams of frustrated quantum spin models in the thermodynamic limit. The method is based on a cluster-Gutzwiller ansatz where the wave function of the clus...