Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Two-Unitary Decomposition Algorithm and Open Quantum System Simulation
Nishchay Suri, J. Barreto, Stuart Hadfield +3 more·Jul 20, 2022
Simulating general quantum processes that describe realistic interactions of quantum systems following a non-unitary evolution is challenging for conventional quantum computers that directly implement unitary gates. We analyze complexities for promis...
Limits to Quantum Gate Fidelity from Near-Field Thermal and Vacuum Fluctuations
Wenbo Sun, S. Bharadwaj, Li‐Ping Yang +5 more·Jul 19, 2022
High-fidelity quantum gate operations are essential for achieving scalable quantum circuits. In spin qubit quantum computing systems, metallic gates and antennas which are necessary for qubit operation, initialization, and readout, also cause detrime...
Reminiscence of Classical Chaos in Driven Transmons
Joachim Cohen, A. Petrescu, R. Shillito +1 more·Jul 19, 2022
Transmon qubits are ubiquitously used in superconducting quantum information processor architectures. Strong drives are required to realize fast, high-fidelity, gates and measurements, including parametrically activated processes. Here, we show that ...
Quantum Image Representation Methods Using Qutrits
Ankit Khandelwal, M. Chandra·Jul 19, 2022
—Quantum Image Processing is a recent highlight in the quantum computing field. All previous methods for representing the images as quantum states were defined using qubits. One Quantum Image Representation (QIR) method using qutrits is present in the ...
Control and mitigation of microwave crosstalk effect with superconducting qubits
Ruixia Wang, Peng Zhao, Yirong Jin +1 more·Jul 18, 2022
Improving gate performance is vital for scalable quantum computing. Universal quantum computing also requires gate fidelity to reach a high level. For a superconducting quantum processor, which operates in the microwave band, the single-qubit gates a...
Constant-cost implementations of Clifford operations and multiply controlled gates using global interactions
S. Bravyi, D. Maslov, Y. Nam·Jul 18, 2022
We consider quantum circuits composed of single-qubit operations and global entangling gates generated by Ising-type Hamiltonians. It is shown that such circuits can implement a large class of unitary operators commonly used in quantum algorithms at ...
The complexity of quantum circuit mapping with fixed parameters
P. Zhu, Shenggen Zheng, Lihuan Wei +3 more·Jul 18, 2022
A quantum circuit must be preprocessed before implementing on NISQ devices due to the connectivity constraint. Quantum circuit mapping (QCM) transforms the circuit into an equivalent one that is compliant with the NISQ device’s architecture constrain...
Benchmarking quantum logic operations relative to thresholds for fault tolerance
A. Hashim, Stefan K. Seritan, T. Proctor +6 more·Jul 18, 2022
Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates—defined via the...
Calculation of the moscovium ground‐state energy by quantum algorithms
V. Zaytsev, M. E. Groshev, I. A. Maltsev +2 more·Jul 17, 2022
We investigate the possibility to calculate the ground‐state energy of the atomic systems on a quantum computer. For this purpose we evaluate the lowest binding energy of the moscovium atom with the use of the iterative phase estimation and variation...
Calibration-Aware Transpilation for Variational Quantum Optimization
Yanjun Ji, Sebastian Brandhofer, I. Polian·Jul 17, 2022
Today’s Noisy Intermediate-Scale Quantum (NISQ) computers support only limited sets of available quantum gates and restricted connectivity. Therefore, quantum algorithms must be transpiled in order to become executable on a given NISQ computer; trans...
Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets
Jordan Hines, Marie Lu, R. Naik +12 more·Jul 15, 2022
Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal gate set. Here, we introduce a...
Efficient factored gradient descent algorithm for quantum state tomography
Yong Wang, Lijun Liu, Shuming Cheng +2 more·Jul 12, 2022
Reconstructing the state of quantum many-body systems is of fundamental importance in quantum information tasks, but extremely challenging due to the curse of dimensionality. In this work, we present an efficient quantum tomography protocol that comb...
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Fei Hua, Yuwei Jin, A. Li +5 more·Jul 12, 2022
Near-term quantum systems tend to be noisy. Crosstalk noise has been recognized as one of several major types of noises in superconducting Noisy Intermediate-Scale Quantum (NISQ) devices. Crosstalk arises from the concurrent execution of two-qubit ga...
Extensive characterization and implementation of a family of three-qubit gates at the coherence limit
Christopher N. Warren, Jorge Fern'andez-Pend'as, Shahnawaz Ahmed +13 more·Jul 6, 2022
While all quantum algorithms can be expressed in terms of single-qubit and two-qubit gates, more expressive gate sets can help reduce the algorithmic depth. This is important in the presence of gate errors, especially those due to decoherence. Using ...
Knowledge Distillation in Quantum Neural Network using Approximate Synthesis
M. Alam, Satwik Kundu, Swaroop Ghosh·Jul 5, 2022
Recent assertions of a potential advantage of Quantum Neural Network (QNN) for specific Machine Learning (ML) tasks have sparked the curiosity of a sizable number of application researchers. The parameterized quantum circuit (PQC), a major building b...
Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer
Fabian Kreppel, C. Melzer, Janis Wagner +4 more·Jul 5, 2022
The increasing capabilities of quantum computing hardware and the challenge of realizing deep quantum circuits require fully automated and efficient tools for compiling quantum circuits. To express arbitrary circuits in a sequence of native gates spe...
Reproducibility and control of superconducting flux qubits
T. Chang, I. Holzman, T. Cohen +3 more·Jul 4, 2022
Superconducting flux qubits are promising candidates for the physical realization of a scalable quantum processor. Indeed, these circuits may have both a small decoherence rate and a large anharmonicity. These properties enable the application of fas...
Multivariate trace estimation in constant quantum depth
Yihui Quek, M. Wilde, Eneet Kaur·Jun 30, 2022
There is a folkloric belief that a depth-Θ(m) quantum circuit is needed to estimate the trace of the product of m density matrices (i.e., a multivariate trace), a subroutine crucial to applications in condensed matter and quantum information science....
Approximate encoding of quantum states using shallow circuits
Matan Ben-Dov, David Shnaiderov, A. Makmal +1 more·Jun 30, 2022
Quantum algorithms and simulations often require the preparation of complex states through sequences of 2-qubit gates. For a generic quantum state, the number of required gates grows exponentially with the number of qubits, becoming unfeasible on nea...
Automatic Depth Optimization for Quantum Approximate Optimization Algorithm
Y. Pan, Yi-Xiang Tong, Yi Yang·Jun 29, 2022
Quantum Approximate Optimization Algorithm (QAOA) is a hybrid algorithm whose control parameters are classically optimized. In addition to the variational parameters, the right choice of hyperparameter is crucial for improving the performance of any ...