Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater, Louis Sharrock, Brian Coyle +1 more·Sep 30, 2021
Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit born machine. In particular, we consider training a quantum cir...
Computing Ground State Properties with Early Fault-Tolerant Quantum Computers
Ruizhe Zhang, Guoming Wang, Peter D. Johnson·Sep 28, 2021
Significant effort in applied quantum computing has been devoted to the problem of ground state energy estimation for molecules and materials. Yet, for many applications of practical value, additional properties of the ground state must be estimated....
State preparation and evolution in quantum computing: A perspective from Hamiltonian moments
Joseph C. Aulicino, Trevor Keen, Bo Peng·Sep 27, 2021
Quantum algorithms on the noisy intermediate-scale quantum (NISQ) devices are expected to simulate quantum systems that are classically intractable to demonstrate quantum advantages. However, the non-negligible gate error on the NISQ devices impedes ...
Ionization energies in lithium and boron atoms using the Variational Quantum Eigensolver algorithm
Rene Villela, V. S. Prasannaa, B. Das·Sep 26, 2021
The classical-quantum hybrid Variational Quantum Eigensolver algorithm is the most widely used approach in the Noisy Intermediate Scale Quantum era to obtain ground state energies of atomic and molecular systems. In this work, we extend the scope of ...
Hybrid quantum classical graph neural networks for particle track reconstruction
Cenk Tüysüz, C. Rieger, Kristiane Novotny +6 more·Sep 26, 2021
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminosity) and become the High Luminosity LHC (HL-LHC). This increase in lum...
A Quantum-Classical Hybrid Method for Image Classification and Segmentation
Sayantani Pramanik, M. Chandra, C. V. Sridhar +9 more·Sep 25, 2021
Enormous activity in the Quantum Computing area has resulted in it being considered, together with classical computers, for solving different difficult problems - including those of applied nature. An attempt is made in this work to assemble a pipeli...
Estimating Gibbs partition function with quantum Clifford sampling
Yusen Wu, Jingbo B. Wang·Sep 22, 2021
The partition function is an essential quantity in statistical mechanics, and its accurate computation is a key component of any statistical analysis of quantum systems and phenomena. However, for interacting many-body quantum systems, its calculatio...
Near-Term Efficient Quantum Algorithms for Entanglement Analysis
Ranyiliu Chen, Benchi Zhao, Xin Wang·Sep 22, 2021
Entanglement plays a crucial role in quantum physics and is the key resource in quantum information processing. However, entanglement detection and quantification are believed to be hard due to the operational impracticality of existing methods. This...
A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations
Shi Jin, Xiantao Li·Sep 16, 2021
Given the Hamiltonian, the evaluation of unitary operators has been at the heart of many quantum algorithms. Motivated by existing deterministic and random methods, we present a hybrid approach, where Hamiltonians with large amplitude are evaluated a...
Multi-car paint shop optimization with quantum annealing
S. Yarkoni, A. Alekseyenko, Michael Streif +3 more·Sep 16, 2021
We present a generalization of the binary paint shop problem (BPSP) to tackle an automotive industry application, the multi-car paint shop (MCPS) problem. The objective of the optimization is to minimize the number of color switches between cars in a...
Hybrid Quantum-Classical Circuit Simplification with the ZX-Calculus
Agustín Borgna, S. Perdrix, Benoît Valiron·Sep 13, 2021
We present a complete optimization procedure for hybrid quantum-classical circuits with classical parity logic. While common optimization techniques for quantum algorithms focus on rewriting solely the pure quantum segments, there is interest in appl...
A low-power integrated magneto-optic modulator on silicon for cryogenic applications
P. Pintus, L. Ranzani, S. Pinna +9 more·Sep 9, 2021
A fundamental challenge of the quantum revolution is to efficiently interface the quantum computing systems operating at cryogenic temperatures with room temperature electronics and media for high data-rate communication. Current approaches to contro...
Hybridized Methods for Quantum Simulation in the Interaction Picture
A. Rajput, A. Roggero, N. Wiebe·Sep 7, 2021
Conventional methods of quantum simulation involve trade-offs that limit their applicability to specific contexts where their use is optimal. In particular, the interaction picture simulation has been found to provide substantial asymptotic advantage...
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
M. Alam, Satwik Kundu, R. Topaloglu +1 more·Sep 7, 2021
Image classification is a major application domain for conventional deep learning (DL). Quantum machine learning (QML) has the potential to revolutionize image classification. In any typical DL-based image classification, we use convolutional neural ...
Towards a Larger Molecular Simulation on the Quantum Computer: Up to 28 Qubits Systems Accelerated by Point Group Symmetry
Changsu Cao, Jiaqi Hu, Wengang Zhang +7 more·Sep 5, 2021
The exact evaluation of the molecular ground state in quantum chemistry requires an exponentially increasing computational cost. Quantum computation is a promising way to overcome the exponential problem using polynomial-time quantum algorithms. A qu...
Entanglement phases in large- N hybrid Brownian circuits with long-range couplings
S. Sahu, Shao-Kai Jian, Gregory S. Bentsen +1 more·Aug 31, 2021
We develop solvable models of large-$N$ hybrid quantum circuits on qubits and fermions with long-range power-law interactions and continuous local monitoring, which provide analytical access to the entanglement phase diagram and error-correcting prop...
QBoost for regression problems: solving partial differential equations
Caio B. D. Goes, T. O. Maciel, Giovani G. Pollachini +3 more·Aug 30, 2021
A hybrid algorithm based on machine learning and quantum ensemble learning is proposed to find an approximate solution to a partial differential equation with good precision and favorable scaling in the required number of qubits. The classical compon...
Sampling, rates, and reaction currents through reverse stochastic quantization on quantum computers
G. Mazzola·Aug 25, 2021
The quest for improved sampling methods to solve statistical mechanics problems of physical and chemical interest proceeds with renewed efforts since the invention of the Metropolis algorithm, in 1953. In particular, the understanding of thermally ac...
Quantum Machine Learning for Health State Diagnosis and Prognostics
G. S. Martín, E. Droguett·Aug 25, 2021
Quantum computing is a new field that has recently attracted researchers from a broad range of fields due to its representation power, flexibility and promising results in both speed and scalability. Since 2020, laboratories around the globe have sta...
Simulations of hybrid charge-sensing single-electron-transistors and CMOS circuits
T. Tanamoto, K. Ono·Aug 24, 2021
Single-electron transistors (SETs) have been extensively used as charge sensors in many areas such as quantum computations. In general, the signals of SETs are smaller than those of complementary metal-oxide semiconductor (CMOS) devices, and many amp...