World Congress 2023 • Oct 23, 2023

Quantum computing for developers: Solving optimization problems with Qiskit

Isabell Heider , David Alber

You don't need to wait for commercial supremacy to write quantum code. Learn how to solve intractable optimization problems today using hybrid classical-quantum algorithms in Qiskit.

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#1 about 2 min

Understanding the real world need for quantum computing

The limitations of classical computing power when solving complex chemical simulations and factorization problems.

#2 about 3 min

Differences between classical and quantum bits and gates

How quantum bits form complex combinations using quantum gates and probability mechanics instead of deterministic algorithms.

#3 about 1 min

The current scaling roadmap and state of quantum hardware

Current milestones on the IBM hardware scaling roadmap and the availability of development kits.

#4 about 3 min

Solving complex optimization problems with variational quantum eigensolvers

How the variational quantum eigensolver helps minimize costs by finding the smallest value of an observable.

#5 about 2 min

The three core ingredients of quantum eigensolver algorithms

The iterative combination of an ansatz on a quantum computer with a classical optimizer computing algorithm costs.

#6 about 11 min

Programming quantum eigensolvers in python using qiskit simulators

Setting up an ansatz for a Pauli matrix to run optimization natively in Python using the Qiskit runtime estimator primitive.

#7 about 3 min

Executing python programs on a real quantum hardware backend

Switching the session context manager to target an actual IBM quantum device instead of a local simulated backend.

#8 about 6 min

Calculating the ground state energies of hydrogen molecules

Mapping molecular configurations of hydrogen atoms and mitigating hardware noise when predicting chemical traits.

#9 about 3 min

Next steps and getting started with quantum computing resources

Steps available for trying real quantum instances through notebooks and drag-and-drop composer tools.

#10 about 5 min

Audience questions on quantum optimization and algorithm behavior

Answers to audience questions about analytical costs, heuristic advantages, and physically possible states in iterative algorithmic loops.

Matching moments

8:17 min

Practical applications and hybrid solutions for quantum computing advantage

Alexander Glätzle

Alexander Glätzle +3 · WWC 2025

1:19 min

Accelerating artificial intelligence algorithms using quantum mathematical superposition

Alexander Wallner

Alexander Wallner +3 · WWC 2024

1:28 min

Educating developers for the new quantum programming paradigm

Alexander Glätzle

Alexander Glätzle +3 · WWC 2024

3:00 min

Leveraging large quantitative models for intermediate quantum advantage

Yuval Dvir

Yuval Dvir +1 · WWC Europe 2026

2:51 min

The evolution of the quantum developer ecosystem

Jan-Rainer Lahmann · LIVE

52 sec

Software development challenges in quantum computing ecosystems

Alex Waldherr

Alex Waldherr · WWC 2024

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