quantum-simulation

Layer 1 — Physics24 concepts in this subtree

Using a controlled quantum system to simulate the dynamics or ground state of another quantum system that is intractable classically. Feynman 1982 proposal. Two paradigms: (1) analog quantum simulators — engineering a physical system…

Analog quantum simulator: engineered H_device ≈ H_target
Tensor-network ansatz: MPS / PEPS / MERA obey the area law
VQE: minimise ⟨ψ(θ)|H|ψ(θ)⟩ over a parametric quantum circuit
Trotter-Suzuki first-order error: ||e^{−i(A+B)t} − (e^{−iAt/n}e^{−iBt/n})^n|| ≤ t²·||[A,B]||/(2n)
DMRG truncation: ε_trunc = Σ_{k>χ} λ_k² (sum of discarded Schmidt weights)
Optimal Hamiltonian-simulation query complexity: O(τ + log(1/ε)/log log(1/ε))
Lieb–Robinson light cone: ‖[A(t),B]‖ ≤ C·exp(v·t − d(A,B)/ξ); Grönwall exponential bound
Quantum phase estimation: inverse-QFT extracts eigenphase to Δφ = 2π/2^t precision
MERA (Multi-scale Entanglement Renormalization Ansatz): SVD-based scale-invariant tensor network
Lieb–Robinson velocity: v_LR = 2·s·J and bound ‖[A(t),B]‖ ≤ C·exp((v·t − d/ξ))
QPE precision: Δφ = 2π/2^t; P_success ≥ 8/π² for exact-t-bit accuracy
MERA area-law entanglement: S(A) ≤ log(χ) × |∂A|
Feynman simulation (1982)
Optical lattice (Bloch 2002)
Rydberg array (Lukin 2017)
Ion-trap (Monroe 2010s)
DMRG (White 1992)
VMC (McMillan 1965)
Feynman (1982)
Greiner SF-MI (2002)
Ising trap (Britton 2012)
Rydberg array (Bernien 2017)
VQE (Peruzzo 2014)
Trotter (Trotter 1959)
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