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Classical DMRG Calculations Redefine Quantum Advantage Benchmarks for Iron-Sulfur Clusters

Using DMRG with NVIDIA Blackwell GPUs, researchers achieved CAS(89,102) for Fe₅S₁₂H₄⁵⁻—surpassing prior CAS(54,36) limits—setting a rigorous classical benchmark that future quantum algorithms must exceed to claim advantage.

#QuantumChemistry #QuantumAdvantage #News

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Kvantify Qrunch 1.1 Bridges Quantum Chemistry Gap with 85% Accuracy and 88% Speed Gains

Kvantify's Qrunch 1.1 adds PT2 correction to BEAST-VQE, achieving 85% energy accuracy and 88% speed improvements for molecular simulations. Validated on IQM's 20-qubit Garnet QPU, targeting drug discovery and battery tech.

#QuantumChemistry #QuantumComputing #News

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Original post on mastodon.cyber-tribal.com

Decode Quantum with Sabrina Maniscalco from Algorithmiq Welcome to the 84th episode of the Decode Quantum podcast series, which has now more than five years... www.oezratty.net/wordpress/2025/decode-qu... #PostSapiens #quantumenergyinitiative […]

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Efficient Operator Selection and Warm-Start Strategy for Variational Quantum Eigensolvers

DLR researchers combine ExcitationSolve with Energy Sorting for quadratic speedup in VQE ansatz construction. A single classical sweep selects all relevant operators and warm-starts optimization, reducing CNOT gates via OVP-CEOs on NISQ hardware.

#VQE #QuantumChemistry #NISQ

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VQE Survey: Flavors, Benchmarking & Quantum Simulators for NISQ Chemistry

Argonne National Lab reviews VQE algorithm variants (ADAPT-VQE, qADAPT, nu-VQE, USCC, FMO-VQE) for NISQ quantum chemistry, benchmarking accuracy vs FCI and classical CCSD(T), with ADAPT-VQE outperforming standard VQE using fewer parameters.

#VQE #QuantumChemistry #Research

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Rotation-Based Thresholding for Quantum Subspace Diagonalization in Quantum Chemistry

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

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AFQMC on Quantum Hardware via Unitary Dilation

First gate-level realization of auxiliary-field QMC projector dynamics on quantum hardware. Uses stochastic Magnus expansions & unitary dilation to execute nonunitary one-body propagators as coherent circuits, validated on IBM hardware.

#QuantumComputing #QuantumChemistry #Research

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Ancilla-Free Quantum Estimators for Spin-Coupled Generalized Valence Bond Wavefunctions

Shallow, ancilla-free Clifford circuits enable NISQ-compatible evaluation of overlap and Hamiltonian matrix elements in nonorthogonal SCGVB wavefunctions. Validated on H4, quantum estimates match classical Löwdin references with sub-10⁻² Ha mean absolute error.

#QuantumChemistry #NISQ #ValenceBond

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V2Rho-FNO: Fourier Neural Operator for Electronic Density Prediction

V2Rho-FNO applies 3D Fourier Neural Operators to learn the Hohenberg-Kohn potential-to-density map, achieving zero-shot generalization to unseen molecules and resolution transfer via spectral zero-padding without retraining.

#QuantumChemistry #NeuralOperator #DFT

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Auger Spectroscopy via Generative Quantum Eigensolver

Hybrid quantum-classical workflow using GPT-2-driven GQE computes Auger electron spectra from molecular geometry. Validated on water (12–14 qubits), achieving qualitative agreement with FCI and experiment while reducing gate count 59% vs VQE.

#QuantumChemistry #AugerSpectroscopy #Research

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Exponential Scaling Barriers for Variational Quantum Eigensolvers

ADAPT-VQE requires exponentially growing circuit depth with molecular size. Rényi entropy from classical CASSCF predicts iteration count (R²≈0.99). Chemically relevant molecules like [Cu₂O₂(NH₃)₆]²⁺ need 5,000+ iterations—far beyond current hardware.

#QuantumChemistry #VQE #Research

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Unique Matrix Completion of Reduced Density Matrices via Rosina's Theorem

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

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Lie-Algebraic Incompleteness of Symmetry-Adapted VQE for Non-Abelian Molecular Point Groups

SymUCCSD fails for non-Abelian molecules (e.g. NH₃) due to Abelian-subgroup filtering collapsing the Dynamical Lie Algebra to a torus, plus vanishing cross-component gradients in Abelian-adapted orbital bases — confirmed at 21.8 mHa above FCI.

#QuantumChemistry #VQE #Research

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Orbital Compression for Measurement-Efficient Orbital-Optimized VQE in Quantum Chemistry

FNO-OO-VQE and SVO-OO-VQE combine orbital compression with orbital optimization, cutting VQE measurement costs up to 71.5% on NISQ devices while maintaining chemical accuracy for molecular PES and reaction barrier calculations.

#VQE #QuantumChemistry #NISQ

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IBM & Cleveland Clinic Achieve First Quantum Simulation of Protein Electronic Structure

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

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GPU-Accelerated Multigrid Gaussian-Plane-Wave DFT in PySCF

GPU4PySCF delivers up to 25× speedup over 28-core CPU for Kohn-Sham DFT via custom CUDA kernels achieving ~80% peak FP64 throughput. A 256-water cluster energy+gradient completes in ~30s on a single NVIDIA H100 GPU.

#QuantumChemistry #GPUAcceleration #DFT

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Cleveland Clinic & IBM Simulate Protein Electronic Structure via Quantum-Centric Supercomputing

First simulation of a protein's electronic structure using QCSC: IBM Heron r2 + HPC modeled 303-atom Trp-cage miniprotein via EWF-SQD hybrid workflow, achieving accuracy competitive with MP2/CCSD classical benchmarks.

#QuantumComputing #QuantumChemistry #News

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Fujitsu & University of Osaka Deploy Early-FTQC Framework for Chemical Energy Calculations

STAR architecture ver. 3 combined with molecular model optimization cuts qubit requirements to 1/15–1/80 of conventional FTQC, enabling catalyst energy calculations in ~35 days at 0.10% physical error rate — down from millennia-scale runtimes.

#QuantumChemistry #FaultTolerantQC #News

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InQuanto Quantum Chemistry Challenge: Winners Announced

Andrew Salij and Alex Krotz win the InQuanto Quantum Chemistry Challenge, highlighting how human talent remains the critical driver behind advancing commercial quantum computing applications.

#QuantumChemistry #InQuanto #News

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Quantum Computing in Chemistry: Shifting Focus to Scalable Workflows

ETH Zurich researchers propose quantum computers act as coprocessors in high-throughput chemistry pipelines, targeting routine molecular calculations over niche strongly-correlated systems to deliver near-term practical utility.

#QuantumChemistry #QuantumComputing #News

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Fulqrum: Generalized Framework for Quantum Subspace Diagonalization

IBM Quantum's Fulqrum framework unifies qubit & fermionic Hamiltonian eigensolving via extended-alphabet JW transforms and bit-set subspaces, achieving >10x speedup and up to 130x memory reduction over existing tools like qiskit-addon-sqd and Dice.

#QuantumComputing #QuantumChemistry #Research

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CIM-QSCI Algorithm Achieves Optimal Qubit Scaling for Molecular Simulation

Researchers at the UK's NQCC achieved a 6x reduction in qubit scaling for molecular simulations using a CI-matrix QSCI framework with single-bit flip error mitigation and stochastic Trotterization, validated on N2 and naphthalene.

#QuantumChemistry #NISQ #News

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Kvantify and IQM Demonstrate End-to-End Quantum Chemistry Workflow on Real Hardware

Kvantify & IQM Quantum Computers demonstrated computing ammonia's ionization potential using Kvantify's Qrunch tech on IQM's Resonance cloud platform — a full molecular-to-hardware quantum chemistry pipeline. Webinar April 9.

#QuantumChemistry #QuantumComputing #News

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VQE Ring Strain Energies of Cyclic Hydrocarbons via Symmetry-Consistent Active Space Selection

First systematic VQE application to homodesmotic reaction schemes computes ring strain energies for cyclopropane–adamantane. Symmetry-matched fraction (SMF) protocol ensures balanced electron correlation, achieving chemical accuracy vs DFT/CCSD benchmarks.

#QuantumChemistry #VQE #Research

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Symmetry-Based Perturbation Theory for Quantum Electronic Structure Calculations

SBPT exploits Hamiltonian symmetries to reduce qubit counts and configuration space in molecular simulations. Demonstrated on H₂O and N₂, it outperforms NEVPT2 accuracy with fewer quantum resources via augmented Z₂ symmetry and qubit tapering.

#QuantumChemistry #QuantumComputing #Research

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GPU-Accelerated iQCC Method Achieves 124-Qubit Ruthenium Catalyst Simulations

OTI Lumionics used parallel GPU-accelerated iQCC to simulate ruthenium catalysts at 100–124 qubits, surpassing DMRG accuracy. Quantum advantage threshold in chemistry may now exceed 200 qubits.

#QuantumChemistry #GPUComputing #News

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Rovibrational Energy Levels of H₂O Computed via Trapped-Ion Quantum Computer

RIKEN & ELTE researchers computed H₂O rovibrational energy levels on Quantinuum's Reimei trapped-ion QC using a hybrid QSCI method, achieving sub-1 cm⁻¹ accuracy for low-lying states—demonstrating near-term quantum utility in molecular spectroscopy.

#QuantumChemistry #QuantumComputing #Research

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Infleqtion Receives $3.9M ARPA-E Funding for Quantum Computing in Chemistry & Materials Science

Infleqtion secured $3.9M from DOE's ARPA-E under the QC3 program to develop quantum algorithms accelerating chemistry and materials science simulations, targeting commercial energy applications via neutral-atom quantum computing.

#QuantumComputing #QuantumChemistry #News

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Velocity Verlet Optimization for Variational Quantum Eigensolvers

A velocity Verlet optimizer adapted from molecular dynamics achieves chemical accuracy on H₂ with fewer circuit evaluations than L-BFGS-B (3,543 vs 4,253) and attains the lowest final energy on 12-qubit LiH, outperforming standard classical optimizers.

#VQE #QuantumChemistry #Research

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System-Bath Qubit Mapping for Molecular Excitation Energies

HQS researchers map molecular Hamiltonians to spin-boson qubit models using RPA-inspired HOMO/LUMO partitioning, achieving chemical accuracy (1 kcal/mol) for vertical excitation energies of select molecules with only 62–126 environment qubits.

#QuantumChemistry #QuantumComputing #Research

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