Quantum Computing in Finance and Trading

Quantum computing is one of the most hyped frontiers in technology, and finance is one of the first industries seriously testing it. The promise is that quantum machines could one day solve certain optimization and simulation problems, the kind that sit at the heart of pricing, risk and portfolio construction, far faster than classical computers.

This guide organizes what is actually happening: the real use cases, the banks running experiments, the hardware and software providers, the big-tech platforms, and a quantum ETF for exposure without picking a company, with live prices for what is publicly listed.

This page is for learning, not financial advice. Companies are named because of their reported involvement in quantum or quantum-finance work, not as recommendations. Prices are delayed/last-traded, for context only.

Quantum is not a faster computer for everything. Its potential edge is on specific problem types that are hard for classical machines at scale:

• Portfolio optimization picking the best mix of assets under many constraints, a combinatorial problem that grows explosively.
• Derivatives and option pricing Monte Carlo simulations that quantum algorithms may speed up.
• Risk simulation value-at-risk and stress scenarios across huge portfolios.
• Arbitrage and fraud detection searching enormous spaces of possibilities for patterns.

Learn more: Quantum Computing - Investopedia

These institutions have publicly reported quantum research aimed at finance and trading problems. The work is experimental, published papers, pilots and partnerships with quantum providers, not production trading.

• JPMorgan Chase JPM–
• Goldman Sachs GS–
• HSBC HSBC–
• Citigroup C–
• Wells Fargo WFC–
• Barclays BCS–
• BBVA BBVA–

Also reported (not US-listed as a clean single line): Standard Chartered, CaixaBank, Crédit Agricole, Mizuho.

The companies building the actual quantum hardware and the finance-focused software on top. The pure-play hardware names are listed; several leading software firms are still private.

• IonQ IONQ–
• Rigetti Computing RGTI–
• D-Wave Quantum QBTS–
• Quantum Computing Inc QUBT–
• Honeywell (owns Quantinuum) HON–

Private / not separately listed: Quantinuum (Honeywell majority-owned), QC Ware, Classiq, Multiverse Computing, Pasqal. Learn more: IBM Quantum

The same hyperscalers leading AI also run major quantum programs and offer cloud access to quantum machines, which is how most banks actually run their experiments.

• IBM (IBM Quantum) IBM–
• Alphabet (Google Quantum AI) GOOGL–
• Microsoft (Azure Quantum) MSFT–
• Amazon (AWS Braket) AMZN–
• Nvidia (quantum-classical, CUDA-Q) NVDA–

If you want exposure to the theme without choosing between IonQ, Rigetti and D-Wave, the usual answer is a fund. The best known is the Defiance Quantum ETF (QTUM), launched in September 2018. It tracks the BlueStar Machine Learning and Quantum Computing Index, so it holds quantum computing companies together with the cloud software and chip makers that machine learning depends on, rather than quantum companies alone.

• Defiance Quantum ETF QTUM–

It is spread thin. On 30 September 2026 it held 90 companies and the largest position was about 2.3% of the fund, so no single company can sink it, and a breakthrough at one of them moves it only a little. It is also broader than its name suggests: the three largest positions that day were Global Unichip, Arqit Quantum and Cloudflare, a chip designer, a quantum-security company and a cloud software company. It trades live in the dashboard's Sector Heatmap Themes row as well.

Fund facts from the issuer as of 29 to 30 September 2026: Defiance ETFs, QTUM. Holdings and fees change, so check the issuer before acting on them. Educational, not financial advice.

Quantum computing in finance is real research but early-stage reality. Today's machines are small and noisy, and no major firm is executing live trades on a quantum computer. The credible near-term value is in pricing, risk and optimization running alongside classical systems, not a standalone quantum trading engine.

It also overlaps heavily with the AI story: the same hyperscalers, the same frontier-compute narrative, and often the same investor sentiment. See how to invest in AI for the related stack.

Quantum's most talked-about market threat is not to trading but to cryptography. A powerful enough quantum computer could in theory break the elliptic-curve signatures that secure Bitcoin and most cryptocurrencies. The reality is more nuanced than the headlines, and the timeline is years to decades away. We break down which coins are actually at risk, and whether a genuinely quantum-resistant coin exists, in does quantum computing threaten Bitcoin?

Reminder: educational only, not financial advice. Company names are examples of reported involvement, not recommendations. Prices are delayed/last-traded and provided for context. Do your own research.

Do banks use quantum computing?

Several large banks run quantum research programs aimed at finance problems, including JPMorgan Chase, Goldman Sachs, HSBC, Citi, Wells Fargo, Barclays and BBVA. So far this is pilots and proofs-of-concept rather than live trading, because the hardware is still too small and noisy for production use. The work targets pricing, risk and optimization.

What is quantum computing used for in finance?

The most promising uses are optimization and sampling problems: portfolio optimization, derivatives and option pricing (Monte Carlo simulation), risk simulation, arbitrage and fraud detection. These are hard for classical computers at scale, and are where quantum could eventually offer an advantage.

Which companies are involved in quantum computing?

Pure-play quantum companies include IonQ, Rigetti, D-Wave and Quantum Computing Inc. Big technology firms with quantum platforms include IBM, Google (Alphabet), Microsoft and Amazon, while Honeywell owns a majority of Quantinuum. Finance-focused software firms such as QC Ware, Classiq and Multiverse Computing are mostly private.

Is quantum trading real yet?

Not in the sense of live trades being executed on quantum computers. As of now it is experimental: banks publish research and run pilots on small quantum machines, but real trading still runs on classical hardware. Treat headlines claiming live quantum trading with skepticism.

Who is using quantum computing in trading?

Mainly large banks and their research teams, not standalone quantum trading desks. JPMorgan Chase and Goldman Sachs have the most public work, with HSBC, Citi, Wells Fargo, Barclays and BBVA also running experiments. They target trading-adjacent problems, pricing, hedging, portfolio optimization and risk, running on quantum hardware from IBM, IonQ, Quantinuum and D-Wave. No firm runs live trade execution on quantum machines yet.

Are quantum computing companies building trading systems?

Some quantum software companies build finance and trading-oriented tools, though not full live trading engines. Multiverse Computing focuses on financial applications such as portfolio optimization and risk; QC Ware has worked with banks including Goldman Sachs and JPMorgan on pricing algorithms; 1QBit and Classiq also target finance. Hardware makers IonQ, D-Wave and Quantinuum partner with banks on proofs-of-concept. The output so far is algorithms and pilots that plug into existing classical trading infrastructure, not standalone quantum trading systems.

Is there a quantum computing ETF?

Yes. The Defiance Quantum ETF (QTUM), launched in September 2018, tracks the BlueStar Machine Learning and Quantum Computing Index and charges 0.40% a year. On 30 September 2026 it held 90 companies, the largest about 2.3% of the fund. It is broader than a pure quantum bet: it mixes quantum computing companies with the cloud software and chip makers that machine learning depends on. It gives spread-out exposure to the theme without choosing between IonQ, Rigetti and D-Wave, but it is not a quantum-only fund.

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