Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Verifiably exact solution of the electronic Schrödinger equation on quantum devices
Scott E. Smart, D. Mazziotti·Mar 1, 2023
Quantum computers have the potential for an exponential speedup of classical molecular computations. However, existing algorithms have limitations; quantum phase estimation (QPE) algorithms are intractable on current hardware while variational quantu...
Data re-uploading with a single qudit
Noah L. Wach, Manuel S. Rudolph, F. Jendrzejewski +1 more·Feb 27, 2023
Quantum two-level systems, i.e., qubits, form the basis for most quantum machine learning approaches that have been proposed throughout the years. However, higher dimensional quantum systems constitute a promising alternative and are increasingly exp...
Assisted quantum simulation of open quantum systems
Jin‐Min Liang, Qiao-Qiao Lv, Zhixi Wang +1 more·Feb 26, 2023
Summary Universal quantum algorithms (UQA) implemented on fault-tolerant quantum computers are expected to achieve an exponential speedup over classical counterparts. However, the deep quantum circuits make the UQA implausible in the current era. Wit...
Quantum metrology algorithms for dark matter searches with clocks
M. H. Zaheer, N. Matjelo, D. Hume +2 more·Feb 25, 2023
Quantum algorithms such as dynamical decoupling can be used to improve the sensitivity of a quantum sensor to a signal while suppressing sensitivity to noise. Atomic clocks are among the most sensitive quantum sensors, with recent improvements in clo...
Preparing random state for quantum financing with quantum walks
Yen-Jui Chang, Wei-Ting Wang, Haotian Chen +2 more·Feb 24, 2023
In recent years, there has been an emerging trend of combining two innovations in computer science and physics to achieve better computation capability. Exploring the potential of quantum computation to achieve highly efficient performance in various...
Stabilizer Approximation II: From H$_2$O To C$_6$H$_6$
Jianan Wang, Chuixiong Wu, Fen Zuo·Feb 23, 2023
We apply the stabilizer method to the study of some complicated molecules, such as water and benzene. In the minimal STO-3G basis, the former requires 14 qubits, and the latter 72 qubits, which is very challenging. Quite remarkably, We are still able...
Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers
Keita Kanno, M. Kohda, R. Imai +4 more·Feb 22, 2023
We propose quantum-selected configuration interaction (QSCI), a class of hybrid quantum-classical algorithms for calculating the ground- and excited-state energies of many-electron Hamiltonians on noisy quantum devices. Suppose that an approximate gr...
Error-mitigated quantum simulation of interacting fermions with trapped ions
Wentao Chen, Shuaining Zhang, Jialiang Zhang +7 more·Feb 21, 2023
Quantum error mitigation has been extensively explored to increase the accuracy of the quantum circuits in noisy-intermediate-scale-quantum (NISQ) computation, where quantum error correction requiring additional quantum resources is not adopted. Amon...
A hybrid quantum-classical method for electron-phonon systems
M. Denner, Alexander Miessen, Haoran Yan +4 more·Feb 20, 2023
Quantum simulation of fermion-boson systems is significant in material applications, while limited by the unbounded boson states. By merging variational non-Gaussian transformations and variational quantum Eigensolvers, the authors design a hybrid qu...
Solving differential‐algebraic equations in power system dynamic analysis with quantum computing
Huynh T. T. Tran, Hieu T. Nguyen, L. T. Vu +1 more·Feb 19, 2023
Power system dynamics are generally modeled by high dimensional nonlinear differential‐algebraic equations (DAEs) given a large number of components forming the network. These DAEs' complexity can grow exponentially due to the increasing penetration ...
A Herculean task: classical simulation of quantum computers.
Xiaosi Xu, S. Benjamin, Jinzhao Sun +2 more·Feb 17, 2023
In the effort to develop useful quantum computers, simulating quantum machines with conventional classical computing resources is a key capability. Such simulations will always face limits, preventing the emulation of quantum computers at substantial...
Quantum Control of Rydberg Atoms for Mesoscopic Quantum State and Circuit Preparation
Valerio Crescimanna, Jacob M. Taylor, A. Goldberg +1 more·Feb 15, 2023
Individually trapped Rydberg atoms show significant promise as a platform for scalable quantum simulation and for development of programmable quantum computers. In particular, the Rydberg blockade effect can be used to facilitate both fast qubit-qubi...
Quantum simulation of battery materials using ionic pseudopotentials
Modjtaba Shokrian Zini, A. Delgado, R. D. Reis +4 more·Feb 15, 2023
Ionic pseudopotentials are widely used in classical simulations of materials to model the effective potential due to the nucleus and the core electrons. Modeling fewer electrons explicitly results in a reduction in the number of plane waves needed to...
A quantum computing implementation of nuclearelectronic orbital (NEO) theory: Toward an exact pre-Born-Oppenheimer formulation of molecular quantum systems.
Arseny Kovyrshin, Mårten Skogh, A. Broo +4 more·Feb 15, 2023
Nuclear quantum phenomena beyond the Born-Oppenheimer approximation are known to play an important role in a growing number of chemical and biological processes. While there exists no unique consensus on a rigorous and efficient implementation of cou...
A Full-Stack View of Probabilistic Computing With p-Bits: Devices, Architectures, and Algorithms
S. Chowdhury, Andrea Grimaldi, Navid Anjum Aadit +9 more·Feb 13, 2023
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor defined by Moore’s law continues, albeit at a slower pace. Meanwhile, computing demands and energy consumption required by modern artificial intelligence (AI...
Scalable Quantum Computation of Highly Excited Eigenstates with Spectral Transforms
S. Chiew, L. Kwek·Feb 13, 2023
We propose a natural application of Quantum Linear Systems Problem (QLSP) solvers such as the HHL algorithm to efficiently prepare highly excited interior eigenstates of physical Hamiltonians in a variational and targeted manner. This is enabled by t...
Long-Lived Particles Anomaly Detection with Parametrized Quantum Circuits
Simone Bordoni, Denis Stanev, T. Santantonio +1 more·Feb 13, 2023
We investigate the possibility to apply quantum machine learning techniques for data analysis, with particular regard to an interesting use-case in high-energy physics. We propose an anomaly detection algorithm based on a parametrized quantum circuit...
Demonstration of a quantum-classical coprocessing protocol for simulating nuclear reactions
F. Turro, T. Chistolini, A. Hashim +9 more·Feb 13, 2023
Quantum computers hold great promise for arriving at exact simulations of nuclear dynamical processes (e.g., scattering and reactions) that are paramount to the study of nuclear matter at the limit of stability and to explaining the formation of chem...
Latency-aware adaptive shot allocation for run-time efficient variational quantum algorithms
Kosuke Ito·Feb 9, 2023
Efficient classical optimizers are crucial in practical implementations of Variational Quantum Algorithms (VQAs). In particular, to make Stochastic Gradient Descent (SGD) resource efficient, adaptive strategies have been proposed to determine the num...
Decision Diagrams for Quantum Computing
R. Wille, S. Hillmich, Lukas Burgholzer·Feb 9, 2023
Quantum computing promises to solve some important problems faster than conventional computations ever could. Currently available NISQ devices on which first practical applications are already executed demonstrate the potential -- with future fault-t...