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QCSA 2027: International Conference on Quantum Computing Systems and Applications

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投稿締切日:
2026-12-10 残り 40 日
通知日:
2027-02-01
開催日:
2027-03-15
開催地:
San Antonio, Texas, USA
開催回数:
2
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会伴インデックス (CP-I)

39.2 / 100
全 5,764 件中 第 5,377 位 · 上位 94%

システム・アーキテクチャ 分野 342 件中 第 324 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
30
コミュニティの注目度 (10%)
5
公開情報の充実度 (15%)
35

使用した入力: 確認できる開催回数：2 · 過去 24 か月にこのページを開いた研究者：1 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-31

論文募集

QCSA 2027 (International Conference on Quantum Computing Systems and Applications) is an academic conference held in San Antonio, Texas, USA on 2027-03-15. The paper submission deadline is 2026-12-10. Acceptance notifications are sent on 2027-02-01.

Quantum computing is an emerging computing paradigm that harnesses the principles of quantum mechanics to process information in fundamentally new ways. By exploiting concepts such as superposition, entanglement, and quantum interference, quantum computing has the potential to address complex computational problems that are difficult or impractical for classical computers. Rapid advances in quantum hardware, algorithms, software platforms, and hybrid quantum-classical systems are creating new opportunities across areas such as artificial intelligence, cybersecurity, optimization, communication, simulation, finance, healthcare, and scientific discovery. The International Conference on Quantum Computing Systems and Applications (QCSA 2027) is an international forum dedicated to recent advances in quantum computing technologies, systems, algorithms, and real-world applications. The conference brings together researchers, academics, industry professionals, and practitioners to exchange ideas, present innovative research, and discuss emerging challenges in the design and development of quantum computing systems. QCSA 2027 welcomes contributions covering quantum algorithms, quantum software and architectures, quantum machine learning, quantum communication and networking, quantum security, hybrid quantum-classical computing, optimization, simulation, and practical applications across science, engineering, industry, and society. The conference aims to foster interdisciplinary collaboration and support the transition of quantum computing from theoretical research toward scalable, reliable, and impactful applications. Quantum Computing Foundations and Algorithms Quantum algorithms and computational models Quantum complexity and information theory Quantum optimization and search algorithms Variational quantum algorithms Quantum simulation and numerical methods Quantum Computing Systems and Architectures Quantum processor and hardware architectures Quantum control and measurement systems Quantum error correction and fault tolerance Scalable and distributed quantum computing Quantum resource management and scheduling Quantum Software and Programming Quantum programming languages and frameworks Quantum compilers and optimization techniques Quantum software engineering Testing, debugging, and verification of quantum programs Quantum development tools, platforms, and middleware Quantum Artificial Intelligence and Machine Learning Quantum machine learning Quantum neural networks Quantum-enhanced data analytics Quantum optimization for AI applications Hybrid quantum-classical AI systems Quantum Communication, Networking, and Security Quantum communication systems Quantum networks and the quantum Internet Quantum key distribution and cryptography Quantum-safe and post-quantum security Quantum network protocols and architectures Quantum Applications and Emerging Technologies Quantum computing for healthcare and bioinformatics Quantum computing for finance and economics Quantum applications in energy, transportation, and logistics Quantum chemistry, materials, and scientific computing Industrial applications and real-world quantum use cases
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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