Quantum Computing vs. AI | EI Blog

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While everyday investors may not be leveraging quantum anytime soon, banks, hedge funds, asset managers, and pensions have already taken notice of the potential of quantum computing.

In late 2025, Vanguard announced a partnership with IBM “to explore how quantum computing can revolutionize portfolio construction, one of the most complex challenges in financial management.” They will do so by applying “hybrid quantum-classical algorithms to simulate dynamic markets and optimize portfolios under real-world constraints like liquidity, transaction costs, and regulatory limits.”

Around the same time, HSBC announced empirical evidence of real-world advantage of using quantum computing for algorithmic bond trading. Also partnering with IBM, HSBC found a 34% improvement over current computer models in predicting the likelihood of a trade to be filled at a quoted price.

Among asset owners, Canadian pension fund BCI recently partnered with Quantum Algorithms Institute, a British Columbia-based non-profit, “to identify quantum investment applications for portfolio optimization, risk assessment, and financial modeling, while implementing post-quantum security standards to support BCI’s long-term operational resilience.”

Alongside these partnerships, the quantum computing ecosystem is maturing rapidly. Cloud-accessible quantum computing platforms such as IBM Quantum, Azure Quantum (Microsoft), and Amazon Braket have opened quantum experimentation to financial data scientists. Across North America and Europe, national initiatives are investing billions to secure leadership in quantum computing, quantum sensing, and quantum communication, including cryptographic methods.

A recent MIT report shows that venture funding for quantum technologies increased drastically since 2021. The momentum across hardware, software, enabling technologies, and regulatory policy underscores that the era of practical quantum experimentation has already begun.

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