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Live trends in quantum computing research, updated daily from arXiv.
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Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms
Yifeng Xiong, S. Ng, G. Long +1 more·Jan 23, 2022
Quantum phase estimation is an important component in diverse quantum algorithms. However, it suffers from spectral leakage, when the reciprocal of the record length is not an integer multiple of the unknown phase, which incurs an accuracy degradatio...
Quantum error correction with silicon spin qubits
K. Takeda, A. Noiri, T. Nakajima +2 more·Jan 21, 2022
Future large-scale quantum computers will rely on quantum error correction (QEC) to protect the fragile quantum information during computation1,2. Among the possible candidate platforms for realizing quantum computing devices, the compatibility with ...
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
Yifeng Xiong, S. Ng, L. Hanzo·Jan 20, 2022
Quantum error mitigation (QEM) is a class of promising techniques for reducing the computational error of variational quantum algorithms. In general, the computational error reduction comes at the cost of a sampling overhead due to the variance-boost...
Numerical gate synthesis for quantum heuristics on bosonic quantum processors
A. B. Özgüler, D. Venturelli·Jan 19, 2022
There is a recent surge of interest and insights regarding the interplay of quantum optimal control and variational quantum algorithms. We study the framework in the context of qudits which are, for instance, definable as controllable electromagnetic...
Low-overhead quantum computing with the color code
Felix Thomsen, Markus S. Kesselring, S. Bartlett +1 more·Jan 19, 2022
Fault-tolerant quantum computation demands significant resources: large numbers of physical qubits must be checked for errors repeatedly to protect quantum data as logic gates are implemented in the presence of noise. We demonstrate that an approach ...
The optimization landscape of hybrid quantum-classical algorithms: From quantum control to NISQ applications
Xiaozhen Ge, R. Wu, H. Rabitz·Jan 19, 2022
This review investigates the landscapes of hybrid quantum-classical optimization algorithms that are prevalent in many rapidly developing quantum technologies, where the objective function is computed by either a natural quantum system or an engineer...
On-demand electrical control of spin qubits
W. Gilbert, T. Tanttu, W. H. Lim +17 more·Jan 18, 2022
High-performance all-electrical control is a prerequisite for scalable silicon quantum computing. The switchable interaction between spins and orbital motion of electrons in silicon quantum dots now enables the electrical control of a spin qubit with...
Approximate separation of quantum gates and separation experiments of CNOT based on Particle Swarm Optimization algorithm
K. He, Shusen Liu, J. Hou·Jan 15, 2022
Ying conceived of using two or more small-capacity quantum computers to produce a larger-capacity quantum computing system by quantum parallel programming ([M. S. Ying, Morgan-Kaufmann, 2016]). In doing so, the main obstacle is separating the quantum...
Efficient realization of quantum primitives for Shor’s algorithm using PennyLane library
A. V. Antipov, E. Kiktenko, A. Fedorov·Jan 14, 2022
Efficient realization of quantum algorithms is among main challenges on the way towards practical quantum computing. Various libraries and frameworks for quantum software engineering have been developed. Here we present a software package containing ...
Complete description of fault-tolerant quantum gate operations for topological Majorana qubit systems
Adrian D. Scheppe, M. V. Pak·Jan 12, 2022
Among the list of major threats to quantum computation, quantum decoherence poses one of the largest because it generates losses to the environment within a computational system which cannot be recovered via error correction methods. These methods re...
Error-robust quantum signal processing using Rydberg atoms
Sina Zeytinouglu, S. Sugiura·Jan 12, 2022
Rydberg atom arrays have recently emerged as one of the most promising platforms for quantum simulation and quantum information processing. However, as is the case for other experimental platforms, the longer-term success of the Rydberg atom arrays i...
Twist: sound reasoning for purity and entanglement in Quantum programs
Charles Yuan, C. McNally, Michael Carbin·Jan 11, 2022
Quantum programming languages enable developers to implement algorithms for quantum computers that promise computational breakthroughs in classically intractable tasks. Programming quantum computers requires awareness of entanglement, the phenomenon ...
Fast optimal structures generator for parameterized quantum circuits
Chuangtao Chen, Zhimin He, Shenggen Zheng +2 more·Jan 10, 2022
Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs) without using any prior experience, which is inefficient and time-consuming. Besides, the number...
Quantum tomography for quantum systems optimization
B. Bantysh, Y. Bogdanov·Jan 10, 2022
Debugging quantum states transformations is an important task of modern quantum computing. The use of quantum tomography for these purposes significantly expands the range of possibilities. However, the presence of preparation and measurement errors ...
Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays
Yue Wu, S. Kolkowitz, S. Puri +1 more·Jan 10, 2022
Executing quantum algorithms on error-corrected logical qubits is a critical step for scalable quantum computing, but the requisite numbers of qubits and physical error rates are demanding for current experimental hardware. Recently, the development ...
EP-PQM: Efficient Parametric Probabilistic Quantum Memory With Fewer Qubits and Gates
Mushahid Khan, J. Faye, U. C. Mendes +1 more·Jan 10, 2022
Machine learning (ML) classification tasks can be carried out on a quantum computer (QC) using probabilistic quantum memory (PQM) and its extension, parametric PQM (P-PQM), by calculating the Hamming distance between an input pattern and a database o...
Simulating molecules using the VQE algorithm on Qiskit
A. Anaya, F. Delgado·Jan 8, 2022
Introduction Feynman’s ideas to employ quantum systems for simulating other quantum systems [1] gave rise to quantum simulation [2]. While current quantum computers are still prone to decoherence and rely on error correction [3], the development of h...
Variational Quantum Simulation of Valence-Bond Solids
D. Huerga·Jan 7, 2022
We introduce a hybrid quantum-classical variational algorithm to simulate ground-state phase diagrams of frustrated quantum spin models in the thermodynamic limit. The method is based on a cluster-Gutzwiller ansatz where the wave function of the clus...
Oracle separations of hybrid quantum-classical circuits
A. S. Arora, A. Gheorghiu, Uttam Singh·Jan 6, 2022
An important theoretical problem in the study of quantum computation, that is also practically relevant in the context of near-term quantum devices, is to understand the computational power of hybrid models, that combine poly-time classical computati...
Quantum computing based on complex Clifford algebras
J. Hrdina, Aleš Návrat, Petr Vašík·Jan 6, 2022
We propose to represent both n-qubits and quantum gates acting on them as elements in the complex Clifford algebra defined on a complex vector space of dimension 2n. In this framework, the Dirac formalism can be realized in straightforward way. We de...