Quantum computing might seem like a niche topic to many IT leaders, but it’s on the brink of broader business applications. At the Commercialising Quantum Computing conference in London, experts discussed how, by 2028, a quantum computer with 100 logical qubits could start positively impacting material science, offering advantages over traditional high-performance computing.
Mark Jackson from Quantinuum highlighted the synergy between quantum computing and AI. While quantum computers may not excel in pinpointing exact answers, they shine in machine learning, particularly in spotting patterns in vast datasets. Jackson stated, “Quantum computers can detect patterns that conventional methods could miss.” This capability could significantly enhance cybersecurity. Becky Pickard from Barclays emphasized their current challenge of managing enormous data volumes, suggesting that quantum machine learning could transform their cybersecurity strategies.
In the financial sector, HSBC has been exploring quantum computing for years. Phil Intallura from HSBC emphasized that financial services stand to gain immensely from quantum advancements. Banks are constantly seeking improved financial models, and if quantum tech can outperform supercomputers, it will capture decision-makers’ attention. They recently focused on generating true random numbers for financial models, referencing a March paper from JPMorganChase and Quantinuum discussing Random Circuit Sampling (RCS), which achieves more randomness than it inputs—a feat classical computers can’t manage.
On the regulatory front, Intallura noted that the push for secure financial transactions influences quantum plans at banks. The US National Institute of Standards and Technology has already established some post-quantum cryptography standards to replace RSA-2048 encryption by 2035 for better security. Mark Carney from Santander Global emphasized the need for both software and hardware acceleration for post-quantum cryptography to enhance customer assurance beyond mere compliance.
Quantum computing promises to tackle complex optimization challenges, and as these systems become viable, integration with existing IT infrastructures will be vital. Gerard Mullery from Oxford Quantum Circuits pointed out the importance of embedding quantum computing into enterprise workflows, especially as AI increasingly takes charge.
What stands out from the conference discussions is the expectation that useful quantum machines are just years away, potentially equipped with enough logical qubits to tackle real-world problems. As more organizations explore quantum computing’s potential for combinatorial optimization, its integration with traditional computing will be essential, along with enhanced cryptography measures.
