Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum gene regulatory networks
Cristhian Roman-Vicharra, James J. Cai·Jun 30, 2022
In this work, we present a quantum circuit model for inferring gene regulatory networks (GRNs) from single-cell transcriptomic data. The model employs qubit entanglement to simulate interactions between genes, resulting in competitive performance and...
Approximate encoding of quantum states using shallow circuits
Matan Ben-Dov, David Shnaiderov, A. Makmal +1 more·Jun 30, 2022
Quantum algorithms and simulations often require the preparation of complex states through sequences of 2-qubit gates. For a generic quantum state, the number of required gates grows exponentially with the number of qubits, becoming unfeasible on nea...
Exact electronic states with shallow quantum circuits through global optimisation
Hugh G. A. Burton, Daniel Marti-Dafcik, D. Tew +1 more·Jun 30, 2022
Quantum computers promise to revolutionise electronic simulations by overcoming the exponential scaling of many-electron problems. While electronic wave functions can be represented using a product of fermionic unitary operators, shallow quantum circ...
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
T. Patti, Jean Kossaifi, Anima Anandkumar +1 more·Jun 30, 2022
Semidefinite programs are optimization methods with a wide array of applications, such as approximating difficult combinatorial problems. One such semidefinite program is the Goemans-Williamson algorithm, a popular integer relaxation technique. We in...
Single-magnon excited states of a Heisenberg spin chain using a quantum computer
S. Ranu, D. Stancil·Jun 30, 2022
Excited states of spin-chains play an important role in condensed matter physics. We present a method of calculating the single magnon excited states of the Heisenberg spin-chain that can be efficiently implemented on a quantum processor for small spin...
Multivariate trace estimation in constant quantum depth
Yihui Quek, M. Wilde, Eneet Kaur·Jun 30, 2022
There is a folkloric belief that a depth-Θ(m) quantum circuit is needed to estimate the trace of the product of m density matrices (i.e., a multivariate trace), a subroutine crucial to applications in condensed matter and quantum information science....
Integrated photonic platforms for quantum technology: a review
R. Ramakrishnan, A. Ravichandran, Arpita Mishra +4 more·Jun 30, 2022
Quantum information processing has conceptually changed the way we process and transmit information. Our understanding of quantum physics, which explains the seemingly strange behavior of matter at the microscopic scales, has matured to the extent th...
Neural network enhanced measurement efficiency for molecular groundstates
D. Iouchtchenko, J. Gonthier, A. Perdomo-Ortiz +1 more·Jun 30, 2022
It is believed that one of the first useful applications for a quantum computer will be the preparation of groundstates of molecular Hamiltonians. A crucial task involving state preparation and readout is obtaining physical observables of such states...
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
Francesco Di Marcantonio, Massimiliano Incudini, Davide Tezza +1 more·Jun 30, 2022
Exploiting the properties of quantum information to the benefit of machine learning models is perhaps the most active field of research in quantum computation. This interest has supported the development of a multitude of software frameworks (e.g. Qi...
Toward perturbation theory methods on a quantum computer
Junxu Li, Barbara A Jones, S. Kais·Jun 30, 2022
Perturbation theory, used in a wide range of fields, is a powerful tool for approximate solutions to complex problems, starting from the exact solution of a related, simpler problem. Advances in quantum computing, especially over the past several yea...
Simulating spin dynamics with quantum computers
Jarrett L. Lancaster, D. Allen·Jun 29, 2022
IBM quantum computers are used to simulate the dynamics of small systems of interacting quantum spins. For time-independent systems with fewer than three spins, we compute the exact time evolution at arbitrary times and measure spin expectation value...
Automatic Depth Optimization for Quantum Approximate Optimization Algorithm
Y. Pan, Yi-Xiang Tong, Yi Yang·Jun 29, 2022
Quantum Approximate Optimization Algorithm (QAOA) is a hybrid algorithm whose control parameters are classically optimized. In addition to the variational parameters, the right choice of hyperparameter is crucial for improving the performance of any ...
Optimal quantum control via genetic algorithms for quantum state engineering in driven-resonator mediated networks
Jonathon Brown, M. Paternostro, A. Ferraro·Jun 29, 2022
We employ a machine learning-enabled approach to quantum state engineering based on evolutionary algorithms. In particular, we focus on superconducting platforms and consider a network of qubits—encoded in the states of artificial atoms with no direc...
Effective light cone and digital quantum simulation of interacting bosons
Tomotaka Kuwahara, T. Vu, Keiji Saito·Jun 29, 2022
The speed limit of information propagation is one of the most fundamental features in non-equilibrium physics. The region of information propagation by finite-time dynamics is approximately restricted inside the effective light cone that is formulate...
Variational quantum approximate support vector machine with inference transfer
Siheon Park, D. Park, J. Rhee·Jun 29, 2022
A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algorithm tha...
Time and Query Complexity Tradeoffs for the Dihedral Coset Problem
Maxime Remaud, Andr'e Schrottenloher, J. Tillich·Jun 29, 2022
The Dihedral Coset Problem (DCP) in $Z_N$ has been extensively studied in quantum computing and post-quantum cryptography, as for instance, the Learning with Errors problem reduces to it. While the Ettinger-Hoyer algorithm is known to solve the DCP i...
Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods
Sayantani Pramanik, Vishnu Vaidya, Gajendra Malviya +6 more·Jun 29, 2022
The paper presents a quantum method to optimize the placement of sensors on the surface of a vehicle. The problem, as posted in the BMW Quantum Computing Challenge 2021, is to arrive at the optimal positions and configurations (type and orientation) ...
Strong coupling between a photon and a hole spin in silicon
C. X. Yu, S. Zihlmann, J. C. Abadillo-Uriel +11 more·Jun 28, 2022
Spins in semiconductor quantum dots constitute a promising platform for scalable quantum information processing. Coupling them strongly to the photonic modes of superconducting microwave resonators would enable fast non-demolition readout and long-ra...
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
Trong Duong, Sang T. Truong, Minh Tam +3 more·Jun 28, 2022
Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era. As such, there is an increasing demand for automatic quantum neural architecture search. We tackle this challenge by designing a quant...
Compact vacuum-gap transmon qubits: Selective and sensitive probes for superconductor surface losses
M. Žemlička, E. Redchenko, M. Peruzzo +4 more·Jun 28, 2022
State-of-the-art transmon qubits rely on large capacitors which systematically improves their coherence due to reduced surface loss participation. However, this approach increases both the footprint and the parasitic cross-coupling and is ultimately ...