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TensorHEOM

Authors: Kiyoto Nakamura, Dennis Herb

TensorHEOM is a Python package for simulating quantum circuits in non-Markovian environments using free-pole hierarchical equations of motion (FP-HEOM) and tensor-train (TT) compression.

The package is designed for superconducting-qubit simulations and connects circuit-level Qiskit input with microscopic open-system dynamics.

Installation

Install TensorHEOM from PyPI with

pip install ttheom

Basic usage

A typical workflow is:

1. Define a Qiskit quantum circuit.
2. Specify system, bath, and numerical parameters.
3. Run the TensorHEOM simulation.

from qiskit import QuantumCircuit
from ttheom import calcTimeEvo

qc = QuantumCircuit(1)
qc.h(0)

# expected runtime: 1 min
calcTimeEvo(
   fileName="result",
   qc=qc,
   numQ=1,
   freqQ=[5.0],          # GHz
   rhoIni=[[1,0],[0,0]],
   gateTime=[0.16],      # ns
   idlingTime=0.01,       # ns
   T=30,                 # mK
   T1=32,                # µs
   omegaC=20,
   exp=1/8,
   tol=1e-6,
   dtFB=0.1,             # ps
   depth=[1],
   bondDim=5,
   strideTime=0.01,       # ns
)

1. Analyze the pulse sequence, reduced density matrix, and fidelity. For multiple qubits, also analyze concurrence and logarithmic negativity.

import os
from ttheom import *

directory = os.getcwd()
fileName = 'result'

# load kwargs from QPY file 
kwargs = getKwargs(directory, fileName)

# load result from CSV file
t_list, rdo_list = getResult(directory, fileName)

# Post-processing
plotQC(**kwargs)
plotPulseSeq(**kwargs)
plotFidelity(t_list, rdo_list, **kwargs)
plotConcurrence(t_list, rdo_list, **kwargs)
plotLogNeg(t_list, rdo_list, **kwargs)
plotRDO(t_list, rdo_list, **kwargs)

Graphical interface

TensorHEOM also provides a graphical user interface:

from ttheom import TensorHeomApp

TensorHeomApp().mainloop()

Documentation

The documentation is available on Read the Docs: https://tensorheom.readthedocs.io/en/latest/

References

Recent papers from our group:

• K. Nakamura and J. Ankerhold, Entanglement dynamics and performance of two-qubit gates for superconducting qubits under non-Markovian effects. Physical Review Research 8, 013337 (2026).
• K. Nakamura and J. Ankerhold, Impact of time-retarded noise on dynamical decoupling schemes for qubits. Physical Review B 111, 064503 (2025).

License

TensorHEOM is distributed under the BSD 3-Clause License.

Support

For questions or support, please contact Dennis Herb at dennis.herb@uni-ulm.de.