Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Variational Quantum Pulse Learning
Zhiding Liang, Hanrui Wang, Jinglei Cheng +6 more·Mar 31, 2022
Quantum computing is among the most promising emerging techniques to solve problems that are computationally intractable on classical hardware. A large body of existing works focus on using variational quantum algorithms on the gate level for machine...
Quantum simulation of real-space dynamics
Andrew M. Childs, J. Leng, Tongyang Li +2 more·Mar 31, 2022
<jats:p>Quantum simulation is a prominent application of quantum computers. While there is extensive previous work on simulating finite-dimensional systems, less is known about quantum algorithms for real-space dynamics. We conduct a systematic study...
Entanglement dynamics of noisy random circuits
Zhi Li, Shengqi Sang, T. Hsieh·Mar 30, 2022
The process by which open quantum systems thermalize with an environment is both of fun-damental interest and relevant to noisy quantum devices. As a minimal model of this process, we consider a qudit chain evolving under local random unitaries and l...
High fidelity two-qubit gates on fluxoniums using a tunable coupler
I. N. Moskalenko, I. A. Simakov, N. Abramov +7 more·Mar 30, 2022
Superconducting fluxonium qubits provide a promising alternative to transmons on the path toward large-scale superconductor-based quantum computing due to their better coherence and larger anharmonicity. A major challenge for multi-qubit fluxonium de...
Quantum compiling with a variational instruction set for accurate and fast quantum computing
Yinghe Lu, P. Zhou, S. Fei +1 more·Mar 29, 2022
The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the product of the gates in a properly defined QIS is a fundamental step i...
Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics
Kaoru Mizuta, Yuya O. Nakagawa, K. Mitarai +1 more·Mar 29, 2022
Implementing time evolution operators on quantum circuits is important for quantum simulation. However, the standard way, Trotterization, requires a huge numbers of gates to achieve desirable accuracy. Here, we propose a local variational quantum com...
Hardware Efficient Quantum Simulation of Non-Abelian Gauge Theories with Qudits on Rydberg Platforms.
D. González-Cuadra, T. Zache, J. Carrasco +2 more·Mar 29, 2022
Non-Abelian gauge theories underlie our understanding of fundamental forces in nature, and developing tailored quantum hardware and algorithms to simulate them is an outstanding challenge in the rapidly evolving field of quantum simulation. Here we t...
Reference-State Error Mitigation: A Strategy for High Accuracy Quantum Computation of Chemistry
P. Lolur, Mårten Skogh, Christopher N. Warren +6 more·Mar 28, 2022
Decoherence and gate errors severely limit the capabilities of state-of-the-art quantum computers. This work introduces a strategy for reference-state error mitigation (REM) of quantum chemistry that can be straightforwardly implemented on current an...
Unentangled quantum reinforcement learning agents in the OpenAI Gym
Jeng-Yueh Hsiao, Yuxuan Du, Wei-Yin Chiang +2 more·Mar 27, 2022
Classical reinforcement learning (RL) has generated excellent results in different regions ; however, its sample inefficiency remains a critical issue. In this paper, we provide concrete numerical evidence that the sample efficiency (the speed of converge...
Multiqubit Toffoli Gates and Optimal Geometry with Rydberg Atoms
Dongmin Yu, Han Wang, Jin-ming Liu +3 more·Mar 27, 2022
Due to its potential for implementing a scalable quantum computer, multiqubit Toffoli gate lies in the heart of quantum information processing. In this article, we demonstrate a multiqubit blockade gate with atoms arranged in a three-dimension sphero...
Compositional optimization of quantum circuits for quantum kernels of support vector machines
E. Torabian, R. Krems·Mar 25, 2022
While quantum machine learning (ML) has been proposed to be one of the most promising applications of quantum computing, how to build quantum ML models that outperform classical ML remains a major open question. Here, we demonstrate a Bayesian algori...
A Gauss-Newton based Quantum Algorithm for Combinatorial Optimization
Mitsuharu Takeori, Takahiro Yamamoto, R. Ohira +1 more·Mar 25, 2022
In this work, we present a Gauss-Newton based quantum algorithm (GNQA) for combinatorial optimization problems that, under optimal conditions, rapidly converges towards one of the optimal solutions without being trapped in local minima or plateaus. Q...
Encoding quantum bits in bound electronic states of a graphene nanotorus
J. Furtado, A. Ramos, J. E. G. Silva +2 more·Mar 24, 2022
We propose to use the quantum states of an electron trapped on the inner surface of a graphene nanotorus to realize as a new kind of physical quantum bit, which can be used to encode quantum information. Fundamental tasks for quantum information proc...
Randomized Benchmarking beyond Groups
Jianxin Chen, D. Ding, Cupjin Huang·Mar 23, 2022
Randomized benchmarking (RB) is the gold standard for experimentally evaluating the quality of quantum operations. The current framework for RB is centered on groups and their representations, but this can be problematic. For example, Clifford circui...
Linear-depth quantum circuits for multi-qubit controlled gates
A. J. D. Silva, D. Park·Mar 22, 2022
Quantum circuit depth minimization is critical for practical applications of circuit-based quantum computation. In this work, we present a systematic procedure to decompose multiqubit controlled unitary gates, which is essential in many quantum algor...
Double-Transmon Coupler: Fast Two-Qubit Gate with No Residual Coupling for Highly Detuned Superconducting Qubits
Hayato Goto·Mar 22, 2022
Although two-qubit entangling gates are necessary for universal quantum computing, they are notoriously difficult to implement with high fidelity. Recently, tunable couplers have become a key component for realizing high-fidelity two-qubit gates in s...
Scalable fast benchmarking for individual quantum gates with local twirling
Yihong Zhang, Wenjun Yu, Pei Zeng +2 more·Mar 19, 2022
With the development of controllable quantum systems, fast and practical characterization for multi-qubit gates is essential for building high-fidelity quantum computing devices. The usual way to fulfill this requirement via randomized benchmarking a...
Non-local computation of quantum circuits with small light cones
Kfir Dolev, Samuel S. Cree·Mar 18, 2022
The task of non-local quantum computation requires implementation of a unitary on n qubits between two parties with only one round of communication, ideally with minimal pre-shared entanglement. We introduce a new protocol that makes use of the fact ...
Resource estimations for the Hamiltonian simulation in correlated electron materials
Shutaroh Kanno, Suguru Endo, T. Utsumi +1 more·Mar 16, 2022
Correlated electron materials, such as superconductors and magnetic materials, are regarded as fascinating targets in quantum computing. However, the quantitative resources, specifically the number of quantum gates and qubits, required to perform a q...
Measurement-based quantum computation using two-component BECs
Genji Fujii·Mar 16, 2022
Measurement-based quantum computation (MBQC) using two-component Bose–Einstein condensates (BECs) is proposed in this paper. An arbitrary state for one logical qubit is obtained by three-body measurement. Furthermore, a method is proposed for impleme...