PSA/dTWA method benchmarked on k-local Transverse Field Ising Model simulates up to 2000 qubits with quadratic scaling on classical hardware, accurately reproducing single-qubit observables and equilibration dynamics vs. exact/MPS methods.
#QuantumSimulation #ClassicalEmulation #Research
DMRG reveals competing chiral and pair superfluid phases in ultracold bosons on a tripod-scheme Kronig-Penney lattice, where geometric frustration (π-flux) and state-dependent pair hopping simultaneously engineer exotic many-body quantum phases.
#QuantumSimulation #UltracoldAtoms #Research
uniTEMPO enables efficient computation of multi-time correlation functions and 2D electronic spectra for non-Markovian open systems via time-translation invariant MPO, achieving superior O((χd²)²M²) scaling over PT-TEMPO without real-time evolution.
#QuantumSimulation #OpenQuantumSystems #Research
GNN trained on SDRG achieves ~94% pairing accuracy for disordered long-range quantum spin chains, reproducing entanglement entropy across all subsystem sizes and extending to finite-temperature via SDRG-X without retraining.
#QuantumML #QuantumSimulation #Research
A variational framework using two parameterized circuits compresses memory in recurrent quantum models, achieving up to 3 orders of magnitude lower fidelity divergence than MPS truncation—enabling scalable quantum process compression for NISQ devices.
#QuantumComputing #QuantumSimulation #Research
VAGD uses an autoencoder-decoder neural network to optimally decompose quantum wave functions into Gaussian wave packets, achieving near-exact quantum dynamics with ~100x fewer trajectories than prior time-sliced semiclassical methods.
#QuantumSimulation #QuantumDynamics #Research
A minimal π-flux hardcore boson ladder model exhibits exact quantum many-body scars via kinetic frustration, implementable on cold atom, Rydberg, and polar molecule platforms. Floquet engineering extends scar lifetimes for coherence benchmarking.
#QuantumSimulation #QuantumManyBodyPhysics #Research
NISQ-compatible quantum circuits using binary boson-to-qubit mapping simulate superradiant emission in many-emitter ensembles, capturing cooperative dynamics in inhomogeneous systems unreachable by mean-field or classical methods with ~20 qubits.
#QuantumSimulation #NISQ #Superradiance
New theorem proves 2-RDM matrix completion is unique when constrained to non-zero elements of the two-particle reduced Hamiltonian. A hybrid quantum–stochastic algorithm demonstrates exact reconstruction on the Fermi–Hubbard model.
#QuantumChemistry #QuantumSimulation #Research
Hilbert-space fragmentation in the perturbed infinite-U Hubbard chain drives spin subdiffusion via a porous medium equation—distinct from disorder or dipole-conserving models—with spin transport inherently coupled to charge transport scaling as m².
#QuantumSimulation #SpinTransport #Research
PASQAL's 256-qubit Rydberg QPU quantitatively reproduces magnetization of frustrated magnet TmMgGaO4, validates its 2D transverse-field Ising Hamiltonian, and accesses post-quench non-equilibrium dynamics beyond classical simulation reach.
#NeutralAtomQubits #QuantumSimulation #Research
PIMC simulations of bosons, fermions & anyons on a curved spherical surface reveal curvature effects on superfluidity, exchange-correlation holes, and particle path topology via the hairy ball theorem.
#QuantumSimulation #PathIntegralMonteCarlo #Anyons
Using ultracold dysprosium atoms in a synthetic 2D lattice, researchers observed a half-quantized Hall conductance at a topological phase transition critical point—direct experimental evidence of the parity anomaly in a genuinely 2D system.
#QuantumSimulation #TopologicalPhysics #Research
A new weighted nested-commutator (WNC) ansatz approximates adiabatic gauge potentials using local operators, enabling scalable counterdiabatic driving for quantum state preparation up to 1000 qubits and 2D hexagonal lattices of 30 sites.
#QuantumSimulation #CounterdiabaticDriving #News
Bondar & Steuernagel (Tulane) map optomechanical and Bose-Hubbard Hamiltonians to exact tridiagonal matrices, slashing simulation complexity from O(D³) to O(D log D) and enabling accurate symplectic propagators for far larger many-body systems.
#QuantumSimulation #BoseHubbard #News
UC Berkeley-led team proved simulating open quantum systems with non-Markovian Gaussian baths achieves O(log²(1/ωcε)) complexity independent of simulation time—cost scales with spectral density sharpness, not duration.
#OpenQuantumSystems #QuantumSimulation #News
IBM & Cleveland Clinic simulated the 303-atom Trp-cage miniprotein's electronic structure using SQD algorithm + wave function-based embedding on IBM Heron r2, marking the first quantum-centric supercomputing (QCSC) protein simulation.
#QuantumSimulation #QuantumChemistry #News
Variational quantum deflation + deep-learning error mitigation achieves sub-10cm-1 Davydov splitting accuracy for Frenkel exciton simulation on noisy quantum hardware, surpassing conventional post-selection for light-harvesting material modelling.
#QuantumSimulation #ErrorMitigation #DeepLearning
Fujitsu & Univ. of Edinburgh extend QCQMC using VUMPO, VFF, and symmetry-preserving VQE to simulate excited states, finite-temperature properties, and combinatorial optimization with shallower circuits and near-exact accuracy.
#QuantumSimulation #QuantumAlgorithms #News
EPFL & IBM researchers introduce QFTLM, using quantum Krylov methods to compute thermal expectation values with polynomial scaling—overcoming classical exponential limits for many-body quantum systems. Validated on the transverse-field Ising model.
#QuantumSimulation #QuantumAlgorithms #News
QFTLM extends classical FTLM to quantum computers via real-time Krylov methods and quantum Hutchinson trace estimators, computing thermal observables across wide temperature ranges while avoiding exponential classical scaling.
#QuantumSimulation #QuantumAlgorithms #Research
A QCA realization of the quantum TASEP reveals that while classical phase structure is preserved, steady states exhibit quantum correlations beyond entanglement—including discord and coherence—detectable via local quantum uncertainty.
#QuantumSimulation #QuantumCorrelations #Research
A recurrence-relation ansatz applied to the Bose-Hubbard model is extended to the Aubry-André model, yielding a 3-parameter form (energy, initial site μ, tuning α) that analytically separates localized from extended phases.
#QuantumSimulation #AndersonLocalization #Research
Researchers developed a Schwinger-Keldysh/2PI effective action framework using 1/N Schwinger boson expansion, accurately modeling open quantum spins across all coupling and memory regimes—validated against tensor-network simulations.
#OpenQuantumSystems #QuantumSimulation #News
Researchers use a quantum computer to simulate nonequilibrium phase transitions — a key step toward quantum advantage in materials discovery and drug design that classical computers struggle to model.
#QuantumSimulation #QuantumComputing #News
Phasecraft/UCL/Oxford researchers prove local fermion-to-qubit encodings maintain size-independent error rates when power-law decay exponent μ > system dimensionality D, outperforming Jordan-Wigner and Bravyi-Kitaev transforms under Pauli noise.
#QuantumSimulation #FermionicEncoding #News
Researchers at Univ. of Liverpool used an adaptive VQE ansatz on IBM quantum devices to simulate spontaneous supersymmetry breaking, achieving a 6-fold reduction in variational parameters across 3 superpotentials, bypassing the classical sign problem.
#QuantumSimulation #VQE #News
Princeton researchers used 37 CaF molecules in optical tweezer arrays to simulate XXZ/XYZ spin models via Floquet Hamiltonian engineering, observing magnon bound states, quantum walks, and coherent dynamics with decoherence times exceeding 100s.
#QuantumSimulation #OpticalTweezers #News
Grateful for everyone who come and for the the continued discussions around NMR OTOC and getting faithful physical results from QPUs.
#QuantumComputing #QuantumErrorMitigation #APSSummit26 #NMR #QuantumSimulation #OTOC
NUS researchers combined neural networks with Metropolis-Adjusted Langevin sampling to model 10-particle quantum systems with 30% less energy error than prior ML methods, supporting three-body forces and heterogeneous particle masses via GPU acceleration.
#QuantumSimulation #MachineLearning #News
