QEncode Benchmark
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H10

/jordan wigner/adapt
Certified
Beats CCSD(T)
cc-pvdz
CASSCF

H10_ccpvdz_JW_ADAPT_v4_casscf_tapered__sha256_d2701c2be739db5f

VQE Gap

9.9775e-3 Ha

CASCI ref

-5.512849 Ha

Qubits (tapered)

18

CCSD(T) corr.

-2.338e-1 Ha

Molecule / Problem

NameH10
Basis setcc-pvdz
GeometryH 0.0 0.0 0.0; H 0.0 0.0 1.0; H 0.0 0.0 2.0; H 0.0 0.0 3.0; H 0.0 0.0 4.0; H 0.0 0.0 5.0; H 0.0 0.0 6.0; H 0.0 0.0 7.0; H 0.0 0.0 8.0; H 0.0 0.0 9.0
Charge0
Spin0
Active electrons10
Active orbitals10
Orbital optimizationCASSCF

Encoding / Circuit

Qubit mappingjordan-wigner
Ansatz typeadapt
Ansatz reps (HEA)1
TaperingZ2 symmetry — 2 symmetries removed
Qubits (original)20
Qubits (tapered)18
Num parameters300
Circuit depth3562
2Q gates4200

Energy Results

HF energy-5.3760257260 Ha
MP2 energy-5.5557810968 Ha
CCSD energy-5.6041776544 Ha
CCSD(T) energy-5.6097823362 Ha
CASSCF energy-5.5128493129 Ha
CASCI ground state-5.5128493137 Ha
VQE best energy-5.5028718380 Ha
|VQE − CASCI| gap9.977477e-3 Ha
CCSD(T) correlation-2.337566e-1 Ha

Optimizer / Run Config

AlgorithmADAPT-VQE (L-BFGS-B inner, statevector engine)
Multistart runs1
Max iterations500
Total func evals582,465
Num parameters300
Backenddefault.qubit

Provenance / Reproducibility

Entry IDH10_ccpvdz_JW_ADAPT_v4_casscf_tapered__sha256_d2701c2be739db5f
Schema version4.0.0
Created (UTC)2026-07-16T12:13:54.261227+00:00
SHA-256 hashd2701c2be739db5f783295a56ea05631696467ce04235e52b53e655363bf1812
Python3.11.15
PySCF2.6.2
PennyLane0.45.0
OpenFermion1.6.1
NumPy2.2.6
SciPy1.13.1

Reproduce this result

# Clone repo and install pinned environment

git clone https://github.com/qencode-benchmark/qencode-benchmark

cd qencode-benchmark

pip install -r requirements-v4.txt

# Run this entry

python scripts/generate_entry_v4.py \

--molecule H10 \

--mapping jordan_wigner \

--ansatz-type adapt \

--reps 1 \

--orbital-opt casscf \

--multistart 1 \

--max-iter 500 \

--out-dir releases/v4/db