Papers
Live trends in quantum computing research, updated daily from arXiv.
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Adapting the HHL algorithm to quantum many-body theory
Nishanth Baskaran, Abhishek Singh Rawat, Akshaya Jayashankar +6 more·Dec 30, 2022
Rapid progress in developing near- and long-term quantum algorithms for quantum chemistry has provided us with an impetus to move beyond traditional approaches and explore new ways to apply quantum computing to electronic structure calculations. In t...
Simulating neutrino oscillations on a superconducting qutrit
H. Nguyen, Bao Gia Bach, T. Nguyen +3 more·Dec 29, 2022
Precise measurements of parameters in the PMNS framework might lead to new physics beyond the Standard Model. However, they are incredibly challenging to determine in neutrino oscillation experiments. Quantum simulations can be a powerful supplementa...
QPanda: high-performance quantum computing framework for multiple application scenarios
Menghan Dou, Tianrui Zou, Yuan Fang +8 more·Dec 29, 2022
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and the verification of"quantum supremacy"in random number sampling and boson sampling, more and more fields hope to use quantum computers to solve specific problems, such as aerodynam...
General quantum algorithms for Hamiltonian simulation with applications to a non-Abelian lattice gauge theory
Z. Davoudi, Alexander F. Shaw, Jesse R. Stryker·Dec 28, 2022
With a focus on universal quantum computing for quantum simulation, and through the example of lattice gauge theories, we introduce rather general quantum algorithms that can efficiently simulate certain classes of interactions consisting of correlat...
Simulating noisy quantum channels via quantum state preparation algorithms
M. S. Zanetti, Douglas F. Pinto, Marcos L. W. Basso +1 more·Dec 28, 2022
In Xin et al (2017 Phys. Rev. A 96 062303) and Wei et al (2018 Sci. China Phys. Mech. Astron. 61 70311), the authors reported an algorithm to simulate, in a circuit-based quantum computer, a general quantum channel (QC). However, the application of t...
Hybrid quantum-gap-estimation algorithm using a filtered time series
Woojun Lee, Ryan Scott, V. Scarola·Dec 28, 2022
Quantum simulation advantage over classical memory limitations would allow compact quantum circuits to yield insight into intractable quantum many-body problems, but the interrelated obstacles of large circuit depth in quantum time evolution and nois...
Simulation of Networked Quantum Computing on Encrypted Data
Ieva Čepaitė·Dec 25, 2022
Due to the limited availability of quantum computing power in the near future, cryptographic security techniques must be developed for secure remote use of current and future quantum computing hardware. Prominent among these is Universal Blind Quantu...
PANSATZ: pulse-based ansatz for variational quantum algorithms
Dekel Meirom, S. Frankel·Dec 25, 2022
Quantum computers promise a great computational advantage over classical computers, which might help solve various computational challenges such as the simulation of complicated quantum systems, finding optimum in large optimization problems, and sol...
Depth analysis of variational quantum algorithms for the heat equation
N. Guseynov, A. Zhukov, W. Pogosov +1 more·Dec 23, 2022
Variational quantum algorithms are a promising tool for solving partial differential equations. The standard approach for its numerical solution are finite difference schemes, which can be reduced to the linear algebra problem. We consider three appr...
Extension of the Trotterized Unitary Coupled Cluster to Triple Excitations.
M. Haidar, M. Rančić, Y. Maday +1 more·Dec 23, 2022
The Trotterized Unitary Coupled Cluster Single and Double (UCCSD) ansatz has recently attracted interest due to its use in Variation Quantum Eigensolver (VQE) molecular simulations on quantum computers. However, when the size of molecules increases, ...
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse
E. Matekole, Esther Ye, Ramya Iyer +1 more·Dec 22, 2022
Quantum computing (QC) promises significant advantages on certain hard computational tasks over classical computers. However, current quantum hardware, also known as noisy intermediate-scale quantum computers (NISQ), are still unable to carry out com...
Shallow quantum circuits for deeper problems
Adri'an P'erez-Salinas, Radoica Dravski'c, Jordi Tura i Brugués +1 more·Dec 22, 2022
State-of-the-art quantum computers can only reliably execute circuits with limited qubit numbers and computational depth. This severely reduces the scope of algorithms that can be run. While numerous techniques have been invented to exploit few-qubit...
Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
Tomochika Kurita, Hammam Qassim, M. Ishii +3 more·Dec 21, 2022
We propose a quantum error mitigation strategy for the variational quantum eigensolver (VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent noise in VQE can cause substantially large errors that are difficult to sup...
Algorithmic Shadow Spectroscopy
H. Chan, Richard Meister, Matthew L. Goh +1 more·Dec 21, 2022
We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) beyond performing time evolution and measurements. The approach bui...
Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive.
Aaron Fitzpatrick, Anton Nykänen, N. Talarico +4 more·Dec 21, 2022
We present a self-consistent field (SCF) approach within the adaptive derivative-assembled problem-tailored ansatz variational quantum eigensolver (ADAPT-VQE) framework for efficient quantum simulations of chemical systems on near-term quantum comput...
Variational Quantum Soft Actor-Critic for Robotic Arm Control
Alberto Acuto, Paola Barillà, Ludovico Bozzolo +3 more·Dec 20, 2022
Deep Reinforcement Learning is emerging as a promising approach for the continuous control task of robotic arm movement. However, the challenges of learning robust and versatile control capabilities are still far from being resolved for real-world ap...
Sharp complexity phase transitions generated by entanglement
Soumik Ghosh, A. Deshpande, D. Hangleiter +2 more·Dec 20, 2022
Entanglement is one of the physical properties of quantum systems responsible for the computational hardness of simulating quantum systems. But while the runtime of specific algorithms, notably tensor network algorithms, explicitly depends on the amo...
Tensor-network-assisted variational quantum algorithm
Jun-Jie Huang, Wenhao He, Yukun Zhang +3 more·Dec 20, 2022
Near-term quantum devices generally suffer from shallow circuit depth and hence limited expressivity due to noise and decoherence. To address this, we propose tensor-network-assisted parametrized quantum circuits, which concatenate a classical tensor...
Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver
S. Filippov, Boris Sokolov, M. Rossi +5 more·Dec 20, 2022
Quantum processing units boost entanglement at the level of hardware and enable physical simulations of highly correlated electron states in molecules and intermolecular chemical bonds. The variational quantum eigensolver provides a hardware-efficien...
Performance of Uncoded Implementation of Grover’s Algorithm on Today’s Quantum Processors
Yunos El Kaderi, A. Honecker, I. Andriyanova·Dec 20, 2022
This work tests the performance of Grover’s search circuits on some IBM superconducting quantum devices in case of the size of search space N = 16 and N = 32. Ideally, we expect to get an outcome probability distribution that is clearly peaked at the...