Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
High-Precision Observable Estimation with Single Qubit Quantum Memory
L. A. Markovich, J. Borregaard·Aug 31, 2023
The estimation of multi-qubit observables is a key task in quantum information science. The standard approach is to decompose a multi-qubit observable into a weighted sum of Pauli strings. The observable can then be estimated from projective single q...
Dynamic adaptive quantum approximate optimization algorithm for shallow, noise-resilient circuits
Nikola Yanakiev, N. Mertig, Christopher K. Long +1 more·Aug 31, 2023
The quantum approximate optimization algorithm (QAOA) is an appealing proposal to solve NP problems on noisy intermediate-scale quantum (NISQ) hardware. Making NISQ implementations of the QAOA resilient to noise requires short ansatz circuits with as...
Bounds on Autonomous Quantum Error Correction
O. Shtanko, Yu-Jie Liu, S. Lieu +2 more·Aug 30, 2023
Autonomous quantum memories are a way to passively protect quantum information using engineered dissipation that creates an “always-on'' decoder. We analyze Markovian autonomous decoders that can be implemented with a wide range of qubit and bosonic ...
Sequential quantum simulation of spin chains with a single circuit QED device
Yuxuan Zhang, Shahin Jahanbani, Ameya Riswadkar +2 more·Aug 30, 2023
Quantum simulation of many-body systems in materials science and chemistry are promising application areas for quantum computers. However, the limited scale and coherence of near-term quantum processors pose a significant obstacle to realizing this p...
High-fidelity transmon coupler activated CCZ gate on fluxonium qubits
I. A. Simakov, G. S. Mazhorin, I. N. Moskalenko +2 more·Aug 29, 2023
The Toffoli gate takes a special place in the quantum information theory. It opens up a path for efficient implementation of complex quantum algorithms. Despite tremendous progress of the quantum processors based on the superconducting qubits, realiz...
Observation of multiple steady states with engineered dissipation
Li Li, Tong Liu, Xue-yi Guo +9 more·Aug 25, 2023
Simulating the dynamics of open quantum systems is essential in achieving practical quantum computation and understanding novel nonequilibrium behaviors. However, quantum simulation of a many-body system coupled to an engineered reservoir has yet to ...
On the Study of Partial Qubit Hamiltonian for Efficient Molecular Simulation Using Variational Quantum Eigensolvers
Harshdeep Singh, Sabyashachi Mishra, S. Majumder·Aug 24, 2023
Quantum computing is being extensively used in quantum chemistry, especially in simulating simple molecules and evaluating properties like the ground state energy, dipole moment, etc. The transformation of a molecular Hamiltonian from the fermionic s...
Multi-sequence alignment using the Quantum Approximate Optimization Algorithm
Sebastian Yde Madsen, F. K. Marqversen, S. E. Rasmussen +1 more·Aug 23, 2023
The task of Multiple Sequence Alignment (MSA) is a constrained combinatorial optimization problem that is generally considered a complex computational problem. In this paper, we first present a binary encoding of MSA and devise a corresponding soft-c...
Quantum‐Noise‐Driven Generative Diffusion Models
Marco Parigi, Stefano Martina, F. Caruso·Aug 23, 2023
Generative models realized with Machine Learning (ML) techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to produce new synthetic data. Diffusion Models (DMs) are an emergin...
Analysis and mitigation of residual exchange coupling in linear spin-qubit arrays
Irina Heinz, A. Mills, J. Petta +1 more·Aug 22, 2023
In recent advancements of quantum computing utilizing spin qubits, it has been demonstrated that this platform possesses the potential for implementing two-qubit gates with fidelities exceeding 99.5%. However, as with other qubit platforms, it is not...
Layering and subpool exploration for adaptive variational quantum eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise
Christopher K. Long, K. Dalton, C. Barnes +2 more·Aug 22, 2023
Adaptive variational quantum eigensolvers (ADAPT-VQEs) are promising candidates for simulations of strongly correlated systems on near-term quantum hardware. To further improve the noise resilience of these algorithms, recent efforts have been direct...
A Variational Qubit-Efficient MaxCut Heuristic Algorithm
Yovav Tene-Cohen, Tomer Kelman, Ohad Lev +1 more·Aug 20, 2023
MaxCut is a key NP-hard combinatorial optimization problem. Quantum computing offers methods to solve such problems potentially better than classical counterparts, with the Quantum Approximate Optimization Algorithm (QAOA) being a state-of-the-ar...
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
Filip B. Maciejewski, Stuart Hadfield, Benjamin C. Hall +13 more·Aug 18, 2023
We develop a hardware-efficient ansatz for variational optimization, derived from existing ansatze in the literature, that parametrizes subsets of all interactions in the Cost Hamiltonian in each layer. We treat gate orderings as a variational parame...
A Bottom-up Approach to Constructing Symmetric Variational Quantum Circuits
Babatunde M. Ayeni·Aug 17, 2023
In the age of noisy quantum processors, the exploitation of quantum symmetries can be quite beneficial in the efficient preparation of trial states, an important part of the variational quantum eigensolver algorithm. The benefits include building qua...
Efficient simulation of leakage errors in quantum error correcting codes using tensor network methods
Hidetaka Manabe, Yasunari Suzuki, A. Darmawan·Aug 16, 2023
Leakage errors, in which a qubit is excited to a level outside the qubit subspace, represent a significant obstacle in the development of robust quantum computers. We present a computationally efficient simulation methodology for studying leakage err...
Exploring the Potential of Qutrits for Quantum Optimization of Graph Coloring
Gabriel Bottrill, Mudit Pandey, Olivia Di Matteo·Aug 15, 2023
Recent hardware demonstrations and advances in circuit compilation have made quantum computing with higher- dimensional systems (qudits) on near-term devices an attractive possibility. Some problems have more natural or optimal en- codings using qudi...
High-threshold and low-overhead fault-tolerant quantum memory
S. Bravyi, Andrew W. Cross, J. Gambetta +3 more·Aug 15, 2023
The accumulation of physical errors1–3 prevents the execution of large-scale algorithms in current quantum computers. Quantum error correction4 promises a solution by encoding k logical qubits onto a larger number n of physical qubits, such that the ...
Efficient Quantum Mixed-State Tomography with Unsupervised Tensor Network Machine Learning
Wenjiang Li, Kai Xu, Heng Fan +2 more·Aug 14, 2023
Quantum state tomography (QST) is plagued by the ``curse of dimensionality'' due to the exponentially-scaled complexity in measurement and data post-processing. Efficient QST schemes for large-scale mixed states are currently missing. In this work, w...
Teleamplification on the Borealis boson-sampling device
A. Goldberg, K. Heshami·Aug 10, 2023
A recent theoretical proposal for teleamplification requires preparation of Fock states, programmable interferometers, and photon-number resolving detectors to herald the teleamplification of an input state. These enable teleportation and heralded no...
Quantum Lego Expansion Pack: Enumerators from Tensor Networks
ChunJun Cao, M. Gullans, Brad Lackey +1 more·Aug 9, 2023
We provide the first tensor-network method for computing quantum weight enumerator polynomials in the most general form. If a quantum code has a known tensor-network construction of its encoding map, our method is far more efficient, and in some case...