Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Using gradient-based algorithms to determine ground state energies on a quantum computer
T. Piskor, F. Eich, Jan-Michael Reiner +4 more·Sep 17, 2021
Variational algorithms are promising candidates to be implemented on near-term quantum computers. The variational quantum eigensolver (VQE) is a prominent example, where a parametrized trial state of the quantum mechanical wave function is optimized ...
Mitigating algorithmic errors in quantum optimization through energy extrapolation
Chenfeng Cao, Yunlong Yu, Zipeng Wu +3 more·Sep 16, 2021
Quantum optimization algorithms offer a promising route to finding the ground states of target Hamiltonians on near-term quantum devices. Nonetheless, it remains necessary to limit the evolution time and circuit depth as much as possible, since other...
Continuous-variable quantum repeaters based on bosonic error-correction and teleportation: architecture and applications
Bo-Han Wu, Zheshen Zhang, Quntao Zhuang·Sep 15, 2021
Quantum repeater is an essential ingredient for quantum networks that link distant quantum modules such as quantum computers and sensors. Motivated by distributed quantum computing and communication, quantum repeaters that relay discrete-variable qua...
Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks
I. Khalid, C. Weidner, E. Jonckheere +2 more·Sep 15, 2021
We explore the use of policy gradient methods in reinforcement learning for quantum control via energy landscape shaping of XX-Heisenberg spin chains in a model agnostic fashion. Their performance is compared to finding controllers using gradient-bas...
Noise-resistant quantum state compression readout
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +3 more·Sep 14, 2021
Qubit measurement is generally the most error-prone operation that degrades the performance of near-term quantum devices, and the exponential decay of readout fidelity severely impedes the development of large-scale quantum information processing. Gi...
ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling
Poulami Das, Swamit S. Tannu, Siddharth Dangwal +1 more·Sep 11, 2021
The fidelity of applications on near-term quantum computers is limited by hardware errors. In addition to errors that occur during gate and measurement operations, a qubit is susceptible to idling errors, which occur when the qubit is idle and not ac...
Noise-Aware Quantum Amplitude Estimation
Steven Herbert, Ifan Williams, R. Guichard +1 more·Sep 10, 2021
In this article, based on some simple and reasonable assumptions, we derive a Gaussian noise model for quantum amplitude estimation. We provide results from quantum amplitude estimation run on various IBM superconducting quantum computers and on Quan...
Fault-Tolerant Multiqubit Geometric Entangling Gates Using Photonic Cat-State Qubits
Ye‐Hong Chen, R. Stassi, W. Qin +2 more·Sep 10, 2021
We propose a theoretical protocol to implement multiqubit geometric gates (i.e., the M{\o}lmer-S{\o}rensen gate) using photonic cat-state qubits. These cat-state qubits stored in high-$Q$ resonators are promising for hardware-efficient universal quan...
Streamlined quantum computing with macronode cluster states
B. W. Walshe, R. N. Alexander, N. Menicucci +1 more·Sep 10, 2021
Continuous-variable cluster states allow for fault-tolerant measurement-based quantum computing when used in tandem with the Gottesman-Kitaev-Preskill (GKP) encoding of a qubit into a bosonic mode. For quad-rail-lattice macronode cluster states, whos...
Efficient noise mitigation technique for quantum computing
Ali Shaib, Mohamad H. Naim, M. Fouda +2 more·Sep 10, 2021
Quantum computers have enabled solving problems beyond the current machines’ capabilities. However, this requires handling noise arising from unwanted interactions in these systems. Several protocols have been proposed to address efficient and accura...
Entangling-gate error from coherently displaced motional modes of trapped ions
B. Ruzic, T. Barrick, J. Hunker +7 more·Sep 9, 2021
Entangling gates in trapped-ion quantum computing have primarily targeted stationary ions with initial motional distributions that are thermal and close to the ground state. However, future systems will likely incur significant non-thermal excitation...
Verifying BQP Computations on Noisy Devices with Minimal Overhead
D. Leichtle, Luka Music, E. Kashefi +1 more·Sep 9, 2021
With the development of delegated quantum computation, clients will want to ensure confidentiality of their data and algorithms, and the integrity of their computations. While protocols for blind and verifiable quantum computation exist, they suffer ...
Fundamental limits of quantum error mitigation
Ryuji Takagi, Suguru Endo, Shintaro Minagawa +1 more·Sep 9, 2021
The inevitable accumulation of errors in near-future quantum devices represents a key obstacle in delivering practical quantum advantages, motivating the development of various quantum error-mitigation methods. Here, we derive fundamental bounds conc...
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper)
Zhiding Liang, Zhepeng Wang, Junhuan Yang +4 more·Sep 8, 2021
In the noisy intermediate-scale quantum (NISQ) era, one of the key questions is how to deal with the high noise level existing in physical quantum bits (qubits). Quantum error correction is promising but requires an extensive number (e.g., over 1,000...
Quantum Circuit Engineering for Correcting Coherent Noise
Muhammad Ahsan·Sep 8, 2021
Crosstalk and several sources of operational interference are invisible when qubit or a gate is calibrated or benchmarked in isolation. These are unlocked during the execution of full quantum circuit applying entangling gates to several qubits simult...
Universal Quantum Computing with Twist-Free and Temporally Encoded Lattice Surgery
C. Chamberland, E. Campbell·Sep 6, 2021
Lattice surgery protocols allow for the efficient implementation of universal gate sets with two-dimensional topological codes where qubits are constrained to interact with one another locally. In this work, we first introduce a decoder capable of co...
High-fidelity magic-state preparation with a biased-noise architecture
Shraddha Singh, A. Darmawan, Benjamin J. Brown +1 more·Sep 6, 2021
Magic state distillation is a resource intensive subroutine that consumes noisy input states to produce high-fidelity resource states that are used to perform logical operations in practical quantum-computing architectures. The resource cost of magic ...
Hierarchical qubit maps and hierarchically implemented quantum error correction
N. Klco, M. Savage·Sep 5, 2021
We consider hierarchically implemented quantum error correction (HI-QEC), in which the fidelities of logical qubits are differentially optimized to enhance the capabilities of quantum devices in scientific applications. By employing qubit representat...
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
J. Nelson, Marc Vuffray, A. Lokhov +2 more·Sep 3, 2021
Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experiments on QA hardware platforms have demonstrated that, in the operatin...
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang, Piotr Czarnik, A. Arrasmith +3 more·Sep 2, 2021
Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-term quantum advantage. However, recent studies have shown that noise can severely limit the trainability of VQAs, e.g., by exponentially flattening the cost landscape a...