Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation by Nicholas LaRacuente, Kaitlin N. Smith, Poolad Imany, Kevin L. Silverman, Frederic T. Chong

“…A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. …”
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Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering by Erenay Karacan, Yanbin Chen, Christian B. Mendl

“…By combining our proposed algorithm with state-of-the-art phase estimation methods, we achieved good approximations for the ground state energy with local, two-qubit gate depolarizing probability up to $10^{-4}$. …”
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Fast single atom imaging for optical lattice arrays by Lin Su, Alexander Douglas, Michal Szurek, Anne H. Hébert, Aaron Krahn, Robin Groth, Gregory A. Phelps, Ognjen Marković, Markus Greiner

“…In this work, we present fast, 2.4 μs single-atom imaging in lattices, with 99.4% fidelity - pushing the readout duration of neutral atom quantum platforms to be close to that of superconducting qubit platforms. Additionally, we thoroughly study the performance of accordion lattices. …”
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Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…We aim to find the optimal strategy with single-qubit measurements that yields the highest provable accuracy given a total measurement budget. …”
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Comparative study of quantum error correction strategies for the heavy-hexagonal lattice by César Benito, Esperanza López, Borja Peropadre, Alejandro Bermudez

“…Using noise models of increased complexity, we assess the performance of these strategies for IBM devices in terms of their error thresholds and qubit footprints. An optimized SWAP-based embedding of the surface code is found to be the most promising strategy towards a near-term demonstration of quantum error correction advantage.…”
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Regressions on quantum neural networks at maximal expressivity by Iván Panadero, Yue Ban, Hilario Espinós, Ricardo Puebla, Jorge Casanova, Erik Torrontegui

“…Abstract Considering a universal deep neural network organized as a series of nested qubit rotations, accomplished by adjustable data re-uploads we analyze its expressivity. …”
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Exploring Hilbert-Space Fragmentation on a Superconducting Processor by Yong-Yi Wang, Yun-Hao Shi, Zheng-Hang Sun, Chi-Tong Chen, Zheng-An Wang, Kui Zhao, Hao-Tian Liu, Wei-Guo Ma, Ziting Wang, Hao Li, Jia-Chi Zhang, Yu Liu, Cheng-Lin Deng, Tian-Ming Li, Yang He, Zheng-He Liu, Zhen-Yu Peng, Xiaohui Song, Guangming Xue, Haifeng Yu, Kaixuan Huang, Zhongcheng Xiang, Dongning Zheng, Kai Xu, Heng Fan

“…Here, we explore initial-state-dependent dynamics using a ladder-type superconducting processor with up to 24 qubits, which enables precise control of the qubit frequency and initial-state preparation. …”
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Entangled quantum Stirling heat engine based on two particles Heisenberg model with Dzyaloshinskii-Moriya interaction by H. R. Rastegar-Sedehi, Clebson Cruz

“…Our findings demonstrate that the utilization of a two-qubit Heisenberg model in an entangled quantum Stirling heat engine can significantly enhance efficiency and performance. …”
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Low-density parity-check representation of fault-tolerant quantum circuits by Ying Li

“…Optimizing these circuits within the constraints of today's quantum computing technologies, particularly in terms of error rates, qubit counts, and network topologies, holds substantial implications for the feasibility of quantum applications in the near future. …”
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Neural network decoder for near-term surface-code experiments by Boris M. Varbanov, Marc Serra-Peralta, David Byfield, Barbara M. Terhal

“…In this study, we investigate the performance of such a decoder using both simulated and experimental data obtained from a transmon-qubit processor, focusing on small-distance surface codes. …”
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Quantum Private Comparison Protocol with Cluster States by Min Hou, Yue Wu

“…Notably, the proposed protocol achieves a qubit efficiency of up to 50%. This efficiency, combined with its strong security features, establishes the QPC protocol as a promising solution for private information comparisons within the realm of quantum cryptography.…”
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Efficient Learning of Quantum States Prepared With Few Fermionic Non-Gaussian Gates by Antonio Anna Mele, Yaroslav Herasymenko

“…By Jordan-Wigner mapping, this also includes n-qubit states prepared by nearest-neighbor matchgate circuits with at most t swap gates. …”
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Quantum metrology using quantum combs and tensor network formalism by Stanisław Kurdziałek, Piotr Dulian, Joanna Majsak, Sagnik Chakraborty, Rafał Demkowicz-Dobrzański

“…We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channel.We introduce a tensor network representation of an estimation strategy, which drastically reduces the time and memory consumption of the algorithm, and allows us to analyze metrological protocols involving up to N  = 50 qubit channel uses, whereas the state-of-the-art approaches are limited to N  < 5. …”
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Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction by Umesh Uttamrao Shinde, Ravikumar Bandaru

“…Abstract Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit collision. …”
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Entangling Schrödinger’s cat states by bridging discrete- and continuous-variable encoding by Daisuke Hoshi, Toshiaki Nagase, Sangil Kwon, Daisuke Iyama, Takahiko Kamiya, Shiori Fujii, Hiroto Mukai, Shahnawaz Ahmed, Anton Frisk Kockum, Shohei Watabe, Fumiki Yoshihara, Jaw-Shen Tsai

“…Our work offers powerful applications of DV–CV hybridization and marks a first step toward developing a multi-qubit platform based on planar KPO systems.…”
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Advantages of Logarithmic Signatures in the Implementation of Crypto Primitives by Yevhen Kotukh, Hennadii Khalimov

“…The properties of superposition and quantum entanglement make it possible to perform calculations on all states of the qubit register simultaneously. This property models the full set of states of a classical computer. …”
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Multiobjective Optimization and Network Routing With Near-Term Quantum Computers by Shao-Hen Chiew, Kilian Poirier, Rajesh Mishra, Ulrike Bornheimer, Ewan Munro, Si Han Foon, Christopher Wanru Chen, Wei Sheng Lim, Chee Wei Nga

“…Finally, through Amazon Braket, we execute small-scale implementations of our scheme on the IonQ Harmony 11-qubit quantum computer.…”
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Deterministic multi-phonon entanglement between two mechanical resonators on separate substrates by Ming-Han Chou, Hong Qiao, Haoxiong Yan, Gustav Andersson, Christopher R. Conner, Joel Grebel, Yash J. Joshi, Jacob M. Miller, Rhys G. Povey, Xuntao Wu, Andrew N. Cleland

“…Here, we demonstrate rapid multi-phonon entanglement generation and subsequent tomographic analysis, using a scalable platform comprising two surface acoustic wave resonators on separate substrates, each connected to a superconducting qubit. We synthesize a mechanical Bell state with a fidelity of $${{{{\mathcal{F}}}}}=0.872\pm 0.002$$ F = 0.872 ± 0.002 , and a multi-phonon entangled N = 2 N00N state with a fidelity of $${{{{\mathcal{F}}}}}=0.748\pm 0.008$$ F = 0.748 ± 0.008 . …”
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Gate- and flux-tunable sin(2φ) Josephson element with planar-Ge junctions by Axel Leblanc, Chotivut Tangchingchai, Zahra Sadre Momtaz, Elyjah Kiyooka, Jean-Michel Hartmann, Frédéric Gustavo, Jean-Luc Thomassin, Boris Brun, Vivien Schmitt, Simon Zihlmann, Romain Maurand, Étienne Dumur, Silvano De Franceschi, François Lefloch

“…This result demonstrates a new promising route towards parity-protected superconducting qubits.…”
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Sexual dimorphism in lung transcriptomic adaptations in fetal alcohol spectrum disorders by Vishal D. Naik, Dylan J. Millikin, Daniel Moussa, Hong Jiang, Alexander L. Carabulea, Joseph D. Janeski, Jiahui Ding, Kang Chen, Marta Rodriguez-Garcia, Sunil Jaiman, Stephen A. Krawetz, Gil Mor, Jayanth Ramadoss

“…Final libraries were checked for quality and quantity by Qubit hsDNA and LabChip. The samples were sequenced on the Illumina NovaSeq S4 Paired-end 150 bp. …”
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