Quantum Finance: Pricing, Risk and Portfolios
How quantum algorithms are studied for derivative pricing, risk management and portfolio optimization, and what they could improve.
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739 articlesHow quantum algorithms are studied for derivative pricing, risk management and portfolio optimization, and what they could improve.
Quantum economics applies quantum probability ideas to markets and decision-making. What it proposes and why many economists are skeptical.
Quantum decision theory models choices with quantum probability to capture biases and paradoxes. Its origins, uses and criticisms.
Quantum natural language processing represents word meanings as vectors and composes them with tensor rules. The ideas and their limits.
Quantum cognitive models apply quantum probability to memory, judgment and decision-making. What they explain and how they are tested.
A survey of quantum machine learning: data encoding, feature maps, quantum neural networks, claimed speedups and open challenges.
Quantum biology studies quantum effects in living systems: photosynthesis, bird navigation, enzyme tunneling and more speculative claims.
Threats that quantum computers pose to encryption and the defenses: post-quantum algorithms, QKD, quantum-safe networks and standards.
Quantum genetic algorithms represent candidate solutions with qubits. How they differ from classical genetic algorithms and where they are used.
Which methods are used to run drug discovery problems on quantum hardware, such as VQE and phase estimation, and what they achieve today.
Integrated quantum photonics puts sources, circuits and detectors for single photons on a chip. Uses in communication, computing and sensing.
Hardware-software co-design tailors quantum algorithms to qubit connectivity and noise, and hardware to algorithms. Strategies and examples.