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業界

Industry Quick Links:
航空宇宙・防衛
自動車
Chemistry & Pharma
Cybersecurity
Energy & Network
金融
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物流
Manufacturing & Industry 4.0
量子ハードウェア
航空宇宙・防衛
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Chemistry & Pharma
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Cybersecurity
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量子ハードウェア
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Energy & Network
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ヘルスケア
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航空宇宙・防衛
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Chemistry & Pharma
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Cybersecurity
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量子ハードウェア
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Energy & Network
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ヘルスケア
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航空宇宙・防衛
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Chemistry & Pharma
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Cybersecurity
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量子ハードウェア
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Energy & Network
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ヘルスケア
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Manufacturing & Industry 4.0
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自動車
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物流
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金融
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航空宇宙・防衛
自動車
化学・製薬

Applications

Application Quick Links:
アルゴリズムベンチマーク
組み合わせ最適化
データベースクエリ
グラフ理論
ハミルトン進化論
ハードウェアベンチマーク
ナップサック問題
線形システム
機械学習
確率推定
アルゴリズムベンチマーク
Maximizing Efficiency Across Industries with Classiq’s Quantum Synthesis
組み合わせ最適化
Revolutionizing Problem-Solving in Complex Systems with Classiq
データベースクエリ
Accelerating Data Retrieval and Analysis with Classiq
グラフ理論
Navigating Complex Networks with Classiq
アルゴリズムベンチマーク
Maximizing Efficiency Across Industries with Classiq’s Quantum Synthesis
組み合わせ最適化
Revolutionizing Problem-Solving in Complex Systems with Classiq
データベースクエリ
Accelerating Data Retrieval and Analysis with Classiq
グラフ理論
Navigating Complex Networks with Classiq
ハミルトン進化論
Navigating Complex Quantum Systems with Classiq
ハードウェアベンチマーク
Assessing Quantum Hardware Performance
ナップサック問題
Unleashing the Power of Quantum Computing for Optimal Decision-Making
線形システム
Classiq's Innovation in Complex Computations
機械学習
Revolutionizing AI with Quantum Computing
確率推定
Classiq's Role in Enhancing Predictive Analysis
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航空宇宙・防衛
自動車
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アルゴリズム

Algorithm Quick Links:
ドイチ・ジョザのアルゴリズム
グローバーのアルゴリズム
ハロー・ハシディム・ロイド（HHL）
量子近似最適化アルゴリズム（QAOA）
量子モンテカルロ法
量子ニューラルネットワーク(QNN)
量子位相推定アルゴリズム(QPE)
ショアのアルゴリズム
変分量子固有値ソルバー(VQE)
ドイチ・ジョザのアルゴリズム
A quantum search algorithm that significantly accelerates the process of finding a specific item within an unsorted database. For knapsack problems, it provides a quadratic speedup in identifying optimal solutions, making it highly efficient for large datasets.
グローバーのアルゴリズム
A quantum search algorithm that significantly accelerates the process of finding a specific item within an unsorted database. For knapsack problems, it provides a quadratic speedup in identifying optimal solutions, making it highly efficient for large datasets.
ハロー・ハシディム・ロイド（HHL）
Primarily for solving linear systems, it can be applied to specific optimization problems that can be converted into linear equations.
量子近似最適化アルゴリズム（QAOA）
An algorithm that uses quantum mechanics to approximate solutions for combinatorial optimization problems like knapsack issues. QAOA balances between performance and resource use, finding near-optimal solutions with high efficiency, especially in scenarios with multiple constraints.
ドイチ・ジョザのアルゴリズム
A quantum search algorithm that significantly accelerates the process of finding a specific item within an unsorted database. For knapsack problems, it provides a quadratic speedup in identifying optimal solutions, making it highly efficient for large datasets.
グローバーのアルゴリズム
A quantum search algorithm that significantly accelerates the process of finding a specific item within an unsorted database. For knapsack problems, it provides a quadratic speedup in identifying optimal solutions, making it highly efficient for large datasets.
ハロー・ハシディム・ロイド（HHL）
Primarily for solving linear systems, it can be applied to specific optimization problems that can be converted into linear equations.
量子近似最適化アルゴリズム（QAOA）
An algorithm that uses quantum mechanics to approximate solutions for combinatorial optimization problems like knapsack issues. QAOA balances between performance and resource use, finding near-optimal solutions with high efficiency, especially in scenarios with multiple constraints.
量子モンテカルロ法
Employs probabilistic methods in quantum systems to approximate solutions, especially useful for knapsack problems with uncertain or fluctuating parameters.
量子ニューラルネットワーク(QNN)
Integrates quantum computing principles into neural networks, enhancing tasks like pattern recognition and complex decision making.
量子位相推定アルゴリズム(QPE)
Useful in problems where phase estimation can be linked to an optimization problem, such as in certain financial models.
ショアのアルゴリズム
Primarily known for integer factorization, it can be adapted for certain types of optimization problems where prime factorization is relevant.
変分量子固有値ソルバー(VQE)
VQE is a hybrid quantum-classical algorithm designed to find the lowest eigenvalue of a Hamiltonian (energy function), making it highly suitable for complex optimization tasks, including knapsack problems. It iteratively adjusts quantum circuits to approach the optimal solution.
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航空宇宙・防衛
自動車
化学・製薬

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