20 results for “DQAOA”
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Seongmin Kim, Abhinav Rijal, Yuri Alexeev, Nora Bauer +4 more
This paper introduces DQAOA-GPT, a hybrid framework that integrates DQAOA and GPT-based quantum circuit generation for solving combinatorial optimization problems, reducing computational cost and main…
This paper introduces Distributed Quorum Signature (DQS), a new primitive built from ordinary digital signatures and approval broadcasts, enabling constant-size quorum signatures in distributed system…
This paper proposes a method to explore the design space of quantum-classical applications using a formalization of an architectural style, enabling dynamic selection of the most suitable configuratio…
This paper introduces normalized persistence, a version of persistent homology in topological data analysis, and proves its quantum hardness under the standard assumption that DQC1 is not in BPP.
This paper presents QAccCert, a quantum software framework for quantum computer certification using FPGAs, AI, and ideal quantum simulations.
Junming Chen, Junyang Jiang, Xu Chen, Zibo Liang +1 more
The paper introduces DBA-Bench, a benchmark for evaluating database agents with production fidelity, outcome-first evaluation, and controlled scenario reproducibility.
The paper introduces Quantum-Safe Code Auditor, a novel static analysis framework that uses LLMs and quantum-aware risk scoring to automatically detect and prioritize quantum-vulnerable cryptographic…
Cheng-Han Huang, Yongliang Sun, Chaoyan Huang, Ismail Alkhouri +1 more
The paper establishes conditions for QUBO formulations of combinatorial optimization problems that guarantee valid binary and feasible local minimizers using gradient-based methods.
The paper studies the resources required to batch verify Boolean functions and provides lower bounds on the witness-query tradeoff based on approximate degree.
This paper proposes QCOEM, a quantum cloud orchestration framework using evolutionary algorithms for multi-objective optimization of quantum task scheduling, achieving zero rescheduling and 30% higher…
The paper introduces a unified theoretical framework for gradient aggregation in multi-objective optimization, establishing convergence rates and sufficient conditions for achieving Pareto stationarit…
This paper develops and analyzes two differentially private methods for answering counting queries on quantum-encoded datasets, demonstrating improved privacy guarantees and a quantum-safe approach fo…
This paper generalizes the Phoa principle in synthetic domain theory to transfinite cases, introduces sobriomorphisms, and proposes a hypothetical completeness theorem.
Haolin He, Renhe Sun, Zheqi Dai, Xingjian Du +15 more
This paper introduces Audio-Dependency Filtering (ADF) pipeline for Audio-Dependent Question Answering (ADQA) task in DCASE~2026, achieving top overall and sub-10B accuracy.
This paper proposes an economic model to optimize the trade-off between entanglement distribution latency and decoherence time in distributed quantum computing.
The paper conducts a runtime analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and proposes an improved variant, SPEA2$^+$, to address its limitations in handling dominated solutions.
This paper investigates the challenges of Competency Questions (CQs) in CQ-verification and proposes solutions to enhance users' performance.
This paper introduces a quantum optimization framework using QAOA to perform Subgroup Discovery for network intrusion detection, demonstrating that quantum methods can find complex feature interaction…