Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum machine learning with differential privacy
William Watkins, Samuel Yen-Chi Chen, Shinjae Yoo·Mar 10, 2021
Quantum machine learning (QML) can complement the growing trend of using learned models for a myriad of classification tasks, from image recognition to natural speech processing. There exists the potential for a quantum advantage due to the intractab...
NISQ Algorithm for Hamiltonian simulation via truncated Taylor series
J. Lau, T. Haug, L. Kwek +1 more·Mar 9, 2021
Simulating the dynamics of many-body quantum systems is believed to be one of the first fields that quantum computers can show a quantum advantage over classical computers. Noisy intermediate-scale quantum (NISQ) algorithms aim at effectively using ...
Parametrized Quantum Policies for Reinforcement Learning
S. Jerbi, Casper Gyurik, Simon Marshall +2 more·Mar 9, 2021
With the advent of real-world quantum computing, the idea that parametrized quantum computations can be used as hypothesis families in a quantum-classical machine learning system is gaining increasing traction. Such hybrid systems have already shown ...
Quantum-accelerated constraint programming
Kyle E. C. Booth, B. O’Gorman, Jeffrey Marshall +2 more·Mar 8, 2021
Constraint programming (CP) is a paradigm used to model and solve constraint satisfaction and combinatorial optimization problems. In CP, problems are modeled with constraints that describe acceptable solutions and solved with backtracking tree searc...
Massively-multiplexed generation of Bell-type entanglement using a quantum memory
M. Lipka, Mateusz Mazelanik, Adam Leszczyński +2 more·Mar 8, 2021
High-rate generation of hybrid photon-matter entanglement remains a fundamental building block of quantum network architectures enabling protocols such as quantum secure communication or quantum distributed computing. While a tremendous effort has be...
Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective
Benjamin Weder, Johanna Barzen, F. Leymann +1 more·Mar 7, 2021
Quantum applications are most often hybrid, i.e., they are not only made of implementations of pure quantum algorithms but also of classical programs as well as workflows and topologies as key artifacts, and data they process. Since workflows and top...
Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices
S. Sureshbabu, M. Sajjan, Sangchul Oh +1 more·Mar 2, 2021
Quantum machine learning algorithms, the extensions of machine learning to quantum regimes, are believed to be more powerful as they leverage the power of quantum properties. Quantum machine learning methods have been employed to solve quantum many-b...
A hybrid quantum-classical Hamiltonian learning algorithm
Youle Wang, Guangxi Li, Xin Wang·Mar 1, 2021
This study develops a concrete near-term quantum algorithm for Hamiltonian learning and demonstrates its effectiveness. In particular, we show that learning the spectrum of Hamiltonians during the learning process could produce high-precision estimat...
Large-Scale Quantum Approximate Optimization via Divide-and-Conquer
Junde Li, M. Alam, Swaroop Ghosh·Feb 26, 2021
Quantum approximate optimization algorithm (QAOA) is a promising hybrid quantum-classical algorithm for solving combinatorial optimization problems. However, it cannot overcome qubit limitation for large-scale problems. Furthermore, the simulation ti...
Demonstration of a quantum advantage by a joint detection receiver for optical communication using quantum belief propagation on a trapped-ion device
Conor Delaney, K. Seshadreesan, I. MacCormack +3 more·Feb 25, 2021
Demonstrations of quantum advantage have largely focused on computational speedups and on quantum simulation of many-body physics, limited by fidelity and capability of current devices. Discriminating laser-pulse-modulated classical-communication code...
SU(2) hadrons on a quantum computer via a variational approach
Y. Y. Atas, Jinglei Zhang, R. Lewis +3 more·Feb 17, 2021
Quantum computers have the potential to create important new opportunities for ongoing essential research on gauge theories. They can provide simulations that are unattainable on classical computers such as sign-problem afflicted models or time evolu...
Unitary block optimization for variational quantum algorithms
L. Slattery, B. Villalonga, B. Clark·Feb 16, 2021
Variational quantum algorithms are a promising hybrid framework for solving chemistry and physics problems with broad applicability to optimization as well. They are particularly well suited for noisy intermediate scale quantum (NISQ) computers. In t...
Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem
E. Osaba, Esther Villar-Rodriguez, I. Oregi +1 more·Feb 11, 2021
Quantum Computing is an emerging paradigm which is gathering a lot of popularity in the current scientific and technological community. Widely conceived as the next frontier of computation, Quantum Computing is still at the dawn of its development. T...
Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms
Kubra Yeter-Aydeniz, Bryan T. Gard, J. Jakowski +5 more·Feb 10, 2021
Quantum chemistry is a key application area for noisy‐intermediate scale quantum (NISQ) devices, and therefore serves as an important benchmark for current and future quantum computer performance. Previous benchmarks in this field have focused on var...
Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO
Fanxu Meng·Feb 8, 2021
The direction of arrival (DOA) estimation in array signal processing is an important research area. The effectiveness of the direction of arrival greatly determines the performance of multi-input multioutput (MIMO) antenna systems. The multiple signa...
2022 Roadmap on integrated quantum photonics
G. Moody, V. Sorger, P. Juodawlkis +47 more·Feb 5, 2021
Integrated photonics will play a key role in quantum systems as they grow from few-qubit prototypes to tens of thousands of qubits. The underlying optical quantum technologies can only be realized through the integration of these components onto quan...
Improving the Variational Quantum Eigensolver Using Variational Adiabatic Quantum Computing
Stuart M. Harwood, Dimitar Trenev, Spencer T. Stober +4 more·Feb 4, 2021
The variational quantum eigensolver (VQE) is a hybrid quantum-classical algorithm for finding the minimum eigenvalue of a Hamiltonian that involves the optimization of a parameterized quantum circuit. Since the resulting optimization problem is in ge...
Quantum Accelerator Stack: A Research Roadmap
K. Bertels, A. Sarkar, A. Krol +7 more·Feb 3, 2021
This paper presents the definition and implementation of a quantum computer architecture to enable creating a new computational device - a quantum computer as an accelerator In this paper, we present explicitly the idea of a quantum accelerator which...
Capacity and quantum geometry of parametrized quantum circuits
T. Haug, Kishor Bharti, M. Kim·Feb 2, 2021
To harness the potential of noisy intermediate-scale quantum devices, it is paramount to find the best type of circuits to run hybrid quantum-classical algorithms. Key candidates are parametrized quantum circuits that can be effectively implemented o...
Strong Coupling of an Fe - Co Alloy with Ultralow Damping to Superconducting Co-planar Waveguide Resonators
I. Haygood, M. Pufall, E. Edwards +2 more·Feb 1, 2021
We report on the strong coupling between a metallic ferromagnetic Fe75Co25 thin film patterned element and a range of superconducting Nb half-wavelength co-planar waveguide (CPW) resonators. By varying the volume of the ferromagnet we demonstrate tha...