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Adiabatic Quantum-Flux-Parametron (AQFP) logic is a promising emerging device technology with six orders of magnitude lower power than CMOS. However, AQFP is challenged by the fact that every gate must be clocked, where proper data transfer…

Emerging Technologies · Computer Science 2024-09-10 Robert S. Aviles , Peter A. Beerel

Adiabatic Quantum-Flux-Parametron (AQFP) logic is an ultra-low-power superconducting logic family with energy consumption approaching the Shannon limit, making it attractive for quantum computing control and cryogenic computing systems.…

Emerging Technologies · Computer Science 2026-04-13 Robert S. Aviles , Ziyu Liu , Jingkai Hong , Sasan Razmkhah , Massoud Pedram , Peter A. Beerel

Adiabatic quantum-flux-parametron (AQFP) logic is an energy-efficient superconductor logic family. The latency of AQFP circuits is relatively long compared to that of other superconductor logic families and thus such circuits require…

Emerging Technologies · Computer Science 2021-11-08 Taiki Yamae , Naoki Takeuchi , Nobuyuki Yoshikawa

The adiabatic quantum-flux parametron (AQFP) is a promising energy-efficient superconducting technology. Before technology mapping, additional buffer and splitter cells need to be inserted into AQFP circuits to fulfill two special…

Logic in Computer Science · Computer Science 2021-09-02 Siang-Yun Lee , Heinz Riener , Giovanni De Micheli

This paper proposes an algorithm for synthesis of clock-follow-data designs that provides robustness against timing violations for RSFQ circuits while maintaining high performance and minimizing area costs. Since superconducting logic gates…

Emerging Technologies · Computer Science 2024-09-10 Robert S. Aviles , Phalgun G K , Peter A. Beerel

Superconducting circuits, like Adiabatic Quantum-Flux-Parametron (AQFP), offer exceptional energy efficiency but face challenges in physical design due to sophisticated spacing and timing constraints. Current design tools often neglect the…

Adiabatic quantum-flux-parametron (AQFP) logic is a proven energy-efficient superconductor technology for various applications. To address the scalability challenges, we investigated AQFP shift registers with the AQFP footprint area reduced…

The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology has been recently developed, which achieves the highest energy efficiency among superconducting logic families, potentially huge gain compared with state-of-the-art…

Neural and Evolutionary Computing · Computer Science 2019-07-23 Ruizhe Cai , Ao Ren , Olivia Chen , Ning Liu , Caiwen Ding , Xuehai Qian , Jie Han , Wenhui Luo , Nobuyuki Yoshikawa , Yanzhi Wang

The production process of superconductive integrated circuits is complex and consumes significant amounts of resources and energy. Therefore, it is crucial to evaluate the environmental impact of this emerging technology. An attractive…

Emerging Technologies · Computer Science 2023-07-25 Masoud Zabihi , Yanyue Xie , Zhengang Li , Peiyan Dong , Geng Yuan , Olivia Chen , Massoud Pedram , Yanzhi Wang

Rapid single-flux quantum (RSFQ) is one of the most advanced superconductive electronics technologies. SFQ systems operate at tens of gigahertz with up to three orders of magnitude smaller power as compared to CMOS. In conventional SFQ…

Emerging Technologies · Computer Science 2024-03-12 Rassul Bairamkulov , Giovanni De Micheli

Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with extremely high energy efficiency. By employing the distinct polarity of current to denote logic `0' and `1', AQFP devices serve as excellent carriers for binary neural…

A key distinguishing feature of single flux quantum (SFQ) circuits is that each logic gate is clocked. This feature forces the introduction of path-balancing flip-flops to ensure proper synchronization of inputs at each gate. This paper…

Emerging Technologies · Computer Science 2024-01-15 Robert S. Aviles , Xi Li , Lei Lu , Zhaorui Ni , Peter A. Beerel

This study further explores reformulating power flow (PF) analysis as a discrete combinatorial optimization problem, proposed in our earlier study using the Adiabatic Quantum Power Flow (AQPF) algorithm, which can be executed on Ising…

Systems and Control · Electrical Eng. & Systems 2026-03-10 Zeynab Kaseb , Matthias Moller , Pedro P. Vergara , Peter Palensky

In the context of adiabatic quantum computation (AQC), it has been argued that first-order quantum phase transitions (QPTs) due to localisation phenomena cause AQC to fail by exponentially decreasing the minimal spectral gap of the…

Quantum Physics · Physics 2024-09-23 Matthias Werner , Artur García-Sáez , Marta P. Estarellas

Adiabatic quantum-flux-parametron (AQFP) logic is an energy-efficient superconductor logic. It operates with zero static power dissipation and very low dynamic power dissipation owing to adiabatic switching. In previous numerical studies,…

Emerging Technologies · Computer Science 2019-10-29 Taiki Yamae , Naoki Takeuchi , Nobuyuki Yoshikawa

Adiabatic quantum-flux-parametron (AQFP) logic is an ultra-low-power superconductor logic family. AQFP logic gates are powered and clocked by dedicated clocking schemes using ac excitation currents to implement an energy-efficient switching…

Applied Physics · Physics 2023-01-03 Yuki Hironaka , Taiki Yamae , Christopher L. Ayala , Nobuyuki Yoshikawa , Naoki Takeuchi

Quantum computing promises breakthroughs in simulating and solving complex, classically intractable problems. However, current noisy intermediate-scale quantum (NISQ) devices are relatively small and error-prone, prohibiting large-scale…

Quantum Physics · Physics 2026-03-24 Gary J Mooney

The adiabatic quantum-flux-parametron (AQFP) is an energy-efficient superconductor logic family that utilizes adiabatic switching. AQFP gates are powered and clocked by ac excitation current; thus, to operate AQFP circuits at high clock…

Applied Physics · Physics 2021-02-15 Naoki Takeuchi , Hideo Suzuki , Coenrad J. Fourie , Nobuyuki Yoshikawa

Field-Programmable Gate Arrays (FPGAs) have asserted themselves as vital assets in contemporary computing by offering adaptable, reconfigurable hardware platforms. FPGA-based accelerators incubate opportunities for breakthroughs in areas,…

The Quantum Approximate Optimization Algorithm (QAOA) is a leading approach for combinatorial optimization on near-term quantum devices, yet its scalability is limited by the difficulty of optimizing \(2p\) variational parameters for a…

Quantum Physics · Physics 2026-02-17 Ugo Nzongani , Dylan Laplace Mermoud , Arthur Braida
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