HSBC Posts 34% Gains with IBM Heron Quantum Processors

Share this article
Share this article
Prioritise Us on Google
IBM and HSBC say they have achieved the first documented performance advantage over classical computers in a commercial application. Credit: HSBC
IBM & HSBC report the first quantum edge in finance, as Heron processors deliver 34% better algorithmic accuracy on bond trading data with a hybrid set-up

IBM’s quantum processors have posted the first documented performance edge over classical machines in a commercial setting.

In partnership with HSBC, IBM recorded 34% higher algorithmic accuracy using quantum techniques versus conventional methods on complex optimisation challenges.

Using production trading data across several IBM quantum systems, the teams showed that today’s hardware can outperform classical approaches in targeted scenarios, signalling a shift from lab research to practical deployment in financial markets.

IBM Heron processors excel at multi-variable optimisation

According to both firms, IBM’s processors handled tightly coupled data streams more effectively, where traditional algorithms often run into bottlenecks.

“This is a ground-breaking world-first in bond trading,” says Philip Intallura, Group Head of Quantum Technologies at HSBC.

“It means we now have a tangible example of how today’s quantum computers could solve a real-world business problem at scale and offer a competitive edge, which will only continue to grow as quantum computers advance.”

Philip Intallura, HSBC Group Head of Quantum Technologies. Credit: HSBC

HSBC fields thousands of bond trading requests every day across European markets, with single trades often worth millions of dollars.

Its algorithmic platforms must compete in automated auctions where pricing precision directly affects margins.

The bank prioritised immediate quantum applications over theoretical future capabilities. Philip explains that HSBC has been “relentlessly focused on the near-term application of quantum technology”.

He says: “Given the trial delivered positive results on current quantum computing hardware, we have great confidence we are on the cusp of a new frontier of computing in financial services, rather than something that is far away in the future.”

The quantum processors proved adept at evaluating many variables at once and generating predictions under uncertainty.

These workloads align with the kinds of problems quantum architectures are designed to address, making them highly relevant to fintech trading and risk teams.

Youtube Placeholder

Quantum-classical hybrid architecture delivers computational gains

IBM’s Heron processor identified patterns that classical systems missed entirely. By tapping computational spaces unreachable to traditional hardware, the quantum chip produced measurable improvements.

Heron comprises 133 physical qubits arranged in a heavy-hex lattice to curb error rates while boosting connectivity. Unlike classical bits that are 0 or 1, qubits can exist in superposition, representing multiple possibilities simultaneously until measurement.

IBM Quantum's Heron processor. Credit: IBM

The joint work focused on complex probability calculations with many interacting variables. These data-heavy, interdependent statistics problems are well suited to quantum techniques.

“This exciting exploration shows what becomes possible when deep domain expertise is integrated with cutting-edge algorithm research and the strengths of classical approaches are combined with the rich computational space offered by quantum computers,” says Jay Gambetta, Vice President IBM Quantum.

IBM adopted a hybrid setup with quantum and classical systems working side by side rather than a full replacement. This approach fits current hardware constraints while exploiting quantum advantages where they matter.

Dr. Jay Gambetta, Vice President, IBM Quantum

Quantum mechanics principles enable expanded processing capabilities

Quantum computing leverages quantum physics to manipulate information in ways classical machines cannot. That opens pathways to solve problems that overwhelm even top-tier supercomputers.

The study targeted algorithmic complexity where numerous variables interact at once. Problems that demand analysis of interconnected factors are a natural fit for quantum processing.

IBM delivers quantum access via the cloud through Qiskit, its open-source development stack, so teams can build quantum applications without procuring specialised hardware.

Qiskit offers circuit design tools, optimisation libraries and simulation features that let developers trial quantum algorithms before execution on real devices. It supports multiple programming languages and integrates with classical frameworks, enabling hybrid workflows.

Youtube Placeholder

Heron is IBM’s newest quantum processor with improved qubit coherence and lower error rates than earlier generations, making outcomes more dependable for commercial use.

Quantum processors are strongest on complex optimisation, machine learning and cryptography problems where classical systems struggle. Use cases span logistics, manufacturing, pharmaceuticals and cybersecurity, with capital markets emerging as an early proving ground.

“Such work is essential to unlock new algorithms and applications that are poised to transform industries as quantum computers scale, and the future of computing takes shape,” Jay says.

Company portals