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
If @hossenfelder.bsky.social wants to actually make a video about the current state of the art in #quantumComputing and #quantumAlgorithms, she should read arxiv.org/abs/2310.03011, which is only about 400 pages.
The Quantum-Assisted Recursive Algorithm (QARA) merges classical and quantum methods to tackle the exact cover problem with unmatched efficiency. How might this reshape your work in fields like cryptography or optimization? #QuantumComputing #QuantumAlgorithms #TechInnovation LINK
🚀 Imagine slashing energy variance in quantum state prep faster than ever! Our new multi-device quantum algorithm outpaces traditional methods, promising quicker, more efficient computations. How could this impact your work? #QuantumComputing #QuantumAlgorithms #Innovation LINK
🔍 What if we could unlock the full potential of quantum devices with a single algorithm? Discover how a new approach streamlines quantum state computations for more efficient operations. What future applications do you envision? #QuantumTech #QuantumAlgorithms #Innovation LINK
⚛️🧪(3/5) Key finding:The number of gates needed scales as a power law with the desired accuracy. This is a sign of efficient algorithm construction! #QuantumAlgorithms
The Qiskit Global Summer School united over 8,100 participants to explore foundational quantum theory and cutting-edge algorithms during the International Year of Quantum. What was your favorite topic from the event? #QuantumComputing #Qiskit #QuantumAlgorithms LINK
A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for
Reinforcement Learning under a Generative Model
Andris Ambainis, Debbie Lim et al.
Paper
Details
#ReinforcementLearning #GenerativeModels #QuantumAlgorithms
Quantum leap: Scientists achieve “magic state distillation” in qubits—key to error-free, super-powerful quantum computing. ⚛️🧠
#QuantumComputing #MagicStateDistillation #Qubits #Supercomputing #QuantumBreakthrough #FutureOfTech #QuantumAlgorithms
