Quantum Money: Currency That Cannot Be Copied
Quantum money uses the no-cloning theorem to make banknotes that cannot be copied. Wiesner’s scheme, how it works, experiments and obstacles.
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Quantum Secure Multiparty Computation (QSMC)
Quantum secure multiparty computation lets parties compute on private inputs using quantum protocols. Its use cases, hardware, threats and scalability.
Quantum Secret Sharing: Splitting a Secret Securely
Quantum secret sharing splits a secret among several parties so that only authorized groups can recover it. Protocols, security and applications.
Quantum Repeaters: How a Quantum Network Spans Distance
Quantum repeaters extend quantum networks beyond fiber loss limits using entanglement swapping and quantum memory. Their architecture and protocols.
Quantum Secure Direct Communication (QSDC)
Quantum secure direct communication sends a message itself over a quantum channel instead of first sharing a key. Protocols, benefits and challenges.
Entanglement Purification: Cleaning a Noisy Link
Entanglement purification turns several noisy entangled pairs into fewer better ones using local operations and classical communication. How it works.
Quantum Error Mitigation: Correction’s Cheaper Cousin
Quantum error mitigation reduces the effect of noise without full error correction. Error types, zero-noise extrapolation and how it differs from QEC.
Quantum Tensor Networks: Compressing Entanglement
Tensor networks such as MPS, TTN and MERA represent entangled quantum states compactly. How they work and their uses in simulation and machine learning.
Quantum Hamiltonian Simulation: The Original Use Case
Simulating quantum systems was the original motivation for quantum computers. Hamiltonian simulation, Trotterization, VQE and phase estimation explained.
Quantum Fourier Sampling and What It Reveals
Quantum Fourier sampling applies the quantum Fourier transform and measures the result. How it reveals hidden structure and where it is used.
Quantum Cellular Automata: Rules on a Quantum Grid
Quantum cellular automata apply local rules to a grid of qubits. Their principles, differences from classical automata, uses and implementation challenges.
Quantum Portfolio Optimization: Methods and Limits
How quantum annealing and variational algorithms are applied to portfolio optimization, how they compare with classical methods, and results so far.