Reliable Quantum Communications Based on Asymmetry in Distillation and Coding by Lorenzo Valentini, Rene Bodker Christensen, Petar Popovski, Marco Chiani

“…The reliable provision of entangled qubits is an essential precondition in a variety of schemes for distributed quantum computing. …”
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Quantum memory at nonzero temperature in a thermodynamically trivial system by Yifan Hong, Jinkang Guo, Andrew Lucas

“…Known models of passive quantum error correction similarly exhibit thermodynamic phase transitions to a low-temperature phase wherein logical qubits are protected by thermally stable topological order. …”
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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…Meanwhile, by avoiding quantum phase estimation, the consumed qubits in QRDR is independent on error ε. Therefore, compared with existing algorithms, our algorithm has achieved the optimal performance in terms of time complexity and space complexity. …”
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Quantum-resilient software security: A fuzzy AHP-based assessment framework in the era of quantum computing. by Sultan H Almotiri

“…The rapid development of quantum bits (qubits) regarded as basic quantum entities adds complexity and risk to the software security landscape. …”
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Backtesting Quantum Computing Algorithms for Portfolio Optimization by Gines Carrascal, Paula Hernamperez, Guillermo Botella, Alberto del Barrio

“…The benefits and drawbacks of backtesting are discussed, as well as some of the challenges involved in using real quantum computers of more than 100 qubits. Results show quantum algorithms can be competitive with classical ones, with the advantage of being able to handle a large number of assets in a reasonable time on a future larger quantum computer.…”
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Design of a release-free piezo-optomechanical quantum transducer by Paul Burger, Joey Frey, Johan Kolvik, David Hambraeus, Raphaël Van Laer

“…Quantum transduction between microwave and optical photons offers the potential to merge the long-range connectivity of optical photons with the deterministic quantum operations of superconducting microwave qubits. A promising approach to achieving this uses an intermediary mechanical mode along with piezo-optomechanical interactions. …”
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Quantum Speedup of the Dispersion and Codebook Design Problems by Kein Yukiyoshi, Taku Mikuriya, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Naoki Ishikawa

“…In addition, we propose a method to replace distance coefficients with their ranks, contributing to the reduction of the number of qubits. Our analysis demonstrates that as a result of the proposed techniques, a reduction in query complexity compared to the conventional GAS using the Hadamard transform is achieved, enhancing the feasibility of the quantum-based solution of the dispersion problem.…”
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High-Dimensional Quantum Key Distribution by a Spin-Orbit Microlaser by Yichi Zhang, Haoqi Zhao, Tianwei Wu, Zihe Gao, Li Ge, Liang Feng

“…However, its performance is significantly hampered by the conventional two-level information carriers (i.e., qubits) due to their limited information capacity and noise resilience. …”
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Manhattan Distance-based K-Medoids Clustering Improvement for Diagnosing Diabetic Disease by Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi

“…Quantum computing utilizes quantum bits, or qubits, which can represent multiple states at the same time. …”
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Fast algorithms for classical specifications of stabiliser states and Clifford gates by Nadish de Silva, Wilfred Salmon, Ming Yin

“…This is an asymptotic speedup over the best-known method that is exponential in the number of qubits. We provide implementations of our algorithms in $\texttt{Python}$ and $\texttt{C++}$ that exhibit vastly improved practical performance over existing algorithms in the cases where they exist.…”
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Time-bin entangled Bell state generation and tomography on thin-film lithium niobate by Giovanni Finco, Filippo Miserocchi, Andreas Maeder, Jost Kellner, Alessandra Sabatti, Robert J. Chapman, Rachel Grange

“…We use on-chip periodically-poled lithium niobate as source of entangled qubits with a brightness of 242 MHz/mW and perform quantum tomography with a fidelity of 91.9 ± 1.0 %. …”
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Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

“…With the development of quantum technology, quantum machine learning models leverage the superposition property of qubits to enhance model expressiveness and achieve faster computation compared to classical systems. …”
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Fundamental charges for dual-unitary circuits by Tom Holden-Dye, Lluis Masanes, Arijeet Pal

“…This provides partial progress towards a characterisation of the microscopic structure of complex many-body solitons (in dual-unitary circuits on qubits), whilst also establishing a link between fermionic models and dual-unitary circuits, advancing our understanding of what kinds of physics can be explored in this framework.…”
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Harnessing the Power of Long-Range Entanglement for Clifford Circuit Synthesis by Willers Yang, Patrick Rall

“…These are prepared using ancillary qubits acting as an “entanglement bus,” unlocking global operation primitives such as multiqubit Pauli rotations and fan-out gates. …”
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Enhancing computational accuracy with parallel parameter optimization in variational quantum eigensolver by Daisuke Tsukayama, Jun-ichi Shirakashi, Tetsuo Shibuya, Hiroshi Imai

“…We present the results of running up to six circuits in parallel (120 qubits) and demonstrate the advantages of using multiple units to improve computational accuracy. …”
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Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…Quantum simulation intrinsically models the state evolution of quantum subsystems. Qubits are mathematically constructed in the Hilbert space whose size grows exponentially. …”
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Using a Simplified Quantum Counter to Implement Quantum Circuits Based on Grover’s Algorithm to Tackle the Exact Cover Problem by Jehn-Ruey Jiang, Yu-Jie Wang

“…For the whole quantum circuit, the simplified quantum counter saves <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>(</mo><mn>4</mn><mi>m</mi><mi>b</mi><mo>−</mo><mn>4</mn><mi>m</mi><mo>)</mo></mrow><mrow><mo>⌊</mo><mi>π</mi><mo>/</mo><mn>4</mn><msqrt><mrow><mi>N</mi><mo>/</mo><mi>M</mi></mrow></msqrt><mo>⌋</mo></mrow></mrow></semantics></math></inline-formula> quantum gates and reduces the quantum circuit depth by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mo>(</mo><mn>2</mn><mi>m</mi><mi>b</mi><mo>)</mo></mrow><mrow><mo>⌊</mo><mi>π</mi><mo>/</mo><mn>4</mn><msqrt><mrow><mi>N</mi><mo>/</mo><mi>M</mi></mrow></msqrt><mo>⌋</mo></mrow></mrow></semantics></math></inline-formula> compared to Heidari et al.’s design, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>b</mi><mo>=</mo><mo>⌊</mo><mo form="prefix">log</mo><mi>n</mi><mo>⌋</mo><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula> is the number of counting qubits used in a counter. Experimental results obtained using IBM Qiskit packages confirm the effectiveness of our quantum circuits.…”
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HyQ2:&#x2009;A&#x2009;Hybrid&#x2009;Quantum&#x2009;Neural&#x2009;Network for&#x2009;NextG&#x2009;Vulnerability&#x2009;Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…These quantum neurons are then utilized to capture more complex relationships, effectively limiting the ReLU output. Using only two qubits, our validation results demonstrate that HyQ2 outperforms traditional classical machine learning models in vulnerability detection. …”
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