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Kipu Quantum Optimizers

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Solve binary optimization problems with QPUs

*Best-known solution. Validated on IBM Heron processors, 120 instances. n⁰·⁹ is an upper bound. Sample efficiency eventually overcomes speed difference.
iskay_quickstart.py
from qiskit_ibm_catalog import QiskitFunctionsCatalog  # pip install qiskit-ibm-catalog

catalog = QiskitFunctionsCatalog(
    token=IBM_TOKEN, channel="ibm_quantum_platform", instance=INSTANCE_CRN,
)
iskay = catalog.load("kipu-quantum/iskay-quantum-optimizer")

# Objective as a QUBO/HUBO. Higher-order terms are native.
hubo = {
    "()": 0.0,          # constant
    "(0,)": -1.0,       # linear
    "(1,)": -1.0,
    "(0, 1)": 2.0,      # quadratic (QUBO)
    "(0, 1, 2)": -1.5,  # cubic (HUBO), no extra qubits
}

job = iskay.run(
    problem=hubo,
    problem_type="binary",
    instance=INSTANCE_CRN,
    backend_name="ibm_fez",
    options={"shots": 100, "num_iterations": 3},
)

result = job.result()
print(result["solution_info"]["cost"], result["solution"])

Used and published on real quantum hardware

Challenge winner · IBM Quantum Developer Conference 2025QDC25 · Challenge winner
“Kipu's Qiskit Function radically shortened the path from QUBO/HUBO formulation to execution on real 156-qubit hardware, freeing me to focus on tuning the quantum algorithm itself.”

Khanyisa Noganta

Principal Data Scientist · Market Split winner

IBM + ZuseMar 2026

The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers

Read the paper

IBM Quantum · Organizer
“Khanyisa won by tuning the parameters. It's proof that Kipu's Iskay Qiskit function works in practice. The new features allowed participants and other users to cater the function to their needs.”

Junye Huang

IBM Quantum · ran the QDC25 challenge

Nature Comp. Sci.Apr 2025

Quantum Optimization Benchmark Library - The Intractable Decathlon

Read the paper

2nd place · Berlin Quantum Hackathon 2026Berlin Quantum Hackathon
“We're probing quantum utility by extracting combinatorially hard scheduling subproblems and encoding them to fit NISQ-sized QPUs while keeping circuits as shallow as possible. With Kipu's proven Iskay Optimizer, we can study solution-quality distributions in a hardware-realistic setting.”

The Depth Compressors

P. Kulkarni & A. Atre · BVG Optimization Challenge

Communications PhysicsAug 2025

Bias-Field Digitized Counterdiabatic Quantum Algorithm for Higher-Order Binary Optimization

Read the paper

Financial services
“The results are excellent: a perfect 222-edge cut at 100 nodes, and 318 of 336 at 150.”

Quantum team

Financial services · Max-Cut benchmark

IonQFeb 2026

Large-scale portfolio optimization on a trapped-ion quantum computer

Read the paper

Global IT consultancy
“The function has been working well. We're scaling from 20 to 150 qubits on S&P 500 data.”

Data-science team

Global IT consultancy · portfolio optimization

Best Paper Award, 3rd place · IEEE Quantum Week 2026
IonQApr 2026

Protein folding on a 64-qubit trapped-ion hardware via counterdiabatic quantum optimization

Read the paper

University research
“I tested a larger problem and it works. Now I'm pushing to even larger instances.”

Optimization researcher

University research group · vehicle routing

IonQApr 2026

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Read the paper

Tuning in practice
“With the recommended settings, our circuit dropped from 1901 to 1041 layers and 11,919 to 5,112 gates. Very useful.”

Quantum researcher

University research group · biomedical HUBO

RPISep 2026

Quantum Feature Selection for Biomedical Data Analysis

Read the paper

Quantum Mach. Intell. + NVIDIAAug 2026

Scaling advantage with quantum-enhanced memetic tabu search for LABS

Read the paper

IonQJun 2025

Protein folding with an all-to-all trapped-ion quantum computer

Read the paper

arXivMay 2025

Runtime Quantum Advantage with Digital Quantum Optimization

Read the paper

arXivJan 2026

Constant Depth Digital-Analog Counterdiabatic Quantum Computing

Read the paper

arXivOct 2025

Quantum Combinatorial Reasoning for Large Language Models

Read the paper

arXivOct 2025

Hybrid Sequential Quantum Computing

Read the paper

arXivJun 2025

Sequential Quantum Computing

Read the paper

arXivApr 2025

Branch-and-bound digitized counterdiabatic quantum optimization

Read the paper

Phys. Rev. AppliedAug 2023

Efficient DCQO Algorithm within the Impulse Regime for Portfolio Optimization

Read the paper

Phys. Rev. ResearchJan 2022

Digitized-Counterdiabatic Quantum Optimization

Read the paper

Phys. Rev. ResearchJul 2021

Digitized-counterdiabatic quantum approximate optimization algorithm

Read the paper

QUBO and HUBO solvers on IBM Quantum hardware.