Latest posts tagged with #quantumalgorithms on Bluesky
The future isn't quantum replacing classical. It's quantum and classical working together, each handling what it does best.
Seen a problem where quantum was oversold? Tell us about it.
#xeedq #quantumcomputing #classicalcomputing #quantumalgorithms #quantumreality
KAIST's Andreas Bluhm team achieves O(1/ε) optimal Hamiltonian certification via the Bonami Hypercontractivity Lemma—the first proven-optimal algorithm for this task—plus a sample-efficient Gibbs state learning method that avoids exponential complexity.
#QuantumAlgorithms #QuantumSimulation #News
Researchers from Peking & Tsinghua Universities improved Grover's search complexity from O(√N log(1/ε)) to O(√N loglog(1/ε)) using a Riemannian modified Newton method on a unitary manifold, while preserving standard oracle compatibility.
#QuantumAlgorithms #GroversAlgorithm #News
Fujitsu & universities of Edinburgh/Exeter extend QCQMC beyond ground states using VUMPO classical pre-training, achieving near-exact energies with shallower circuits for molecular, condensed-matter, nuclear, and graph optimization problems.
#QuantumSimulation #QuantumAlgorithms #News
EPFL & IBM researchers developed QFTLM, adapting the classical Lanczos method for quantum computers to compute thermal expectation values of many-body systems, validated on the transverse-field Ising model without exponential data demands.
#QuantumSimulation #QuantumAlgorithms #News
EPFL & IBM researchers present QFTLM, extending the Lanczos algorithm to quantum computers via trace estimation to compute thermal expectation values of many-body systems, demonstrated on the transverse-field Ising model.
#QuantumSimulation #QuantumAlgorithms #News
Sun Yat-sen University researchers developed a distributed quantum algorithm solving the discrete logarithm problem with O(2m+n) space complexity—vs Shor's O(3m)—using iterative set intersection across QPUs, no quantum communication required.
#QuantumCryptography #QuantumAlgorithms #News
Researchers propose a distributed quantum algorithm for the discrete logarithm problem that reduces register size below Shor's O(3m) to O(2m+n+1), improves success probability, and requires only classical communication between QPUs.
#QuantumCryptography #QuantumAlgorithms #Research
Rotation-based thresholding in quantum Krylov diagonalization reduces sampling requirements up to 10,000x for ground state energy estimation, validated on polyene chains and the industry-relevant Fe(III)-NTA chelate complex.
#QuantumChemistry #QuantumAlgorithms #NearTermQuantum
Proves NP-hard inapproximability of max-LINSAT beyond random-assignment ratio r/q, establishing a complexity-theoretic boundary that confirms DQI's quantum advantage is structure-dependent, not general-purpose.
#QuantumOptimization #QuantumAlgorithms #Research
Exact analytical characterization of quantum walk localization on barbell and star-of-cliques graphs shows symmetry, spectral degeneracy, and interference alone—without disorder—govern confinement, with dynamical IPR exceeding eigenstate-based predictions.
#QuantumWalks #QuantumAlgorithms #Research
New Clifford+Toffoli circuits achieve Θ(n) gates and Θ(log n) depth for comparators and incrementers with provably minimal qubits, improving Shor's algorithm depth from O(n³) to O(n² log² n) via a novel 'promise gate' framework.
#QuantumCircuits #QuantumAlgorithms #Research
WQTE uses a single ancilla qubit + Fourier analysis to compute eigen-energy spectra without eigenstate prep, achieving Heisenberg-limited precision. Outperforms VQE/QPE with 4-6 orders less sampling overhead, validated on NMR hardware.
#QuantumAlgorithms #NISQ #Research
Novel QBE algorithm for one-pair semiseparable matrices uses triangular-diagonal factorization, achieving polylogarithmic complexity with only 2log(N)+7 ancilla qubits — outperforming general-purpose FABLE encoding while preserving rank structure.
#QuantumAlgorithms #QuantumLinearAlgebra #Research
Mindbeam AI's SpinGQE uses a transformer-based decoder to auto-generate quantum circuits for spin Hamiltonians, cutting ground state energy error by 60% vs. VQE on a 4-qubit Heisenberg model—bypassing barren plateaus without prior system knowledge.
#QuantumAlgorithms #QuantumMachineLearning #News
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
Generalized QSP/QSVT framework on U(N) simultaneously realizes polynomial matrix transformations, achieving O(d) queries for N-interval decisions (log₂N speedup over U(2)-QSP) and Heisenberg-limit amplitude estimation without adaptive measurements.
#QuantumSignalProcessing #QuantumAlgorithms #News
A new MPO framework separates symbolic operator structure from a tunable coefficient bridge, enabling reusable LCU circuit compilation where only the Prep oracle updates on coefficient changes, demonstrated on electronic-structure Hamiltonians.
#QuantumAlgorithms #TensorNetworks #Research
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 quantum algorithm for the Random Forest regression testing phase achieves query complexity O(t·h) independent of tree count n, outperforming classical O(n·h), using Quantum Amplitude Estimation on encoded decision tree leaf values.
#QuantumML #QuantumAlgorithms #Research
Novel vector norm analysis proves quantum PDE solvers need exponentially fewer Trotter time-steps: Θ(16ⁿ) reduction for diffusion and Θ(4ⁿ) for convection vs. operator norm bounds, using QFT-based diagonal circuit evolution.
#QuantumAlgorithms #QuantumPDE #Research
The algorithms exist and are ready. The hardware is catching up.
That's why we're building accessible, room-temperature quantum processors.
#xeedq #xq #quantumcomputing #quantumalgorithms
Variational #quantumalgorithms and classical variational methods, such as #tensornetworks, provide upper bounds on ground-state energies. This work provides guarantees for lower bounds.
journals.aps.org/pra/abstract...
winbuzzer.com/2026/01/22/m...
Microsoft Open-Sources Quantum Dev Tools for Chemistry
#QuantumComputing #Microsoft #QuantumErrorCorrection #QuantumAlgorithms #AzureQuantum #CloudComputing #Chemistry #BigTech
In the shadow of the Hadamard test: Using the garbage state for good and further modifications
journals.aps.org/prl/abstract...
I am excited to see this improvement of the primitive of the Hadamard test in #quantumalgorithms in press in the PRL. We combine the unused output with shadow estimation.
Oh i forgot to mention the QEMS system is for babies, we can reconstruct the data with near full fidelity on every layer and qubit lol
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1715...
Hey Gurl i heard your Quantum computer needs functioning error mitigation to be able to do any useful computing. check out this Quantum error mitigation system
#QuantumComputing
#QuantumErrorMitigation
#QuantumErrorCorrection
#QEMS
#QuantumAlgorithms
zenodo.org/records/1713...
Toward Quantum Utility in Finance: A Robust Data-Driven Algorithm for Asset Clustering
Paper👉 arxiv.org/abs/2509.07766
Code 👉 github.com/supreethmv/Quantum-Asset-Clustering
#Quantum #QuantumComputing #quantumFinance #quantumalgorithms #GCS-Q
Toward Quantum Utility in Finance: A Robust Data-Driven Algorithm for Asset Clustering
Paper👉 arxiv.org/abs/2509.07766
Code 👉 github.com/supreethmv/Q...
#Quantum #QuantumComputing #quantumFinance #quantumalgorithms #GCS-Q
