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3 Quantum Computing ETFs to Compare in 2026

QTUM, WQTM and CQTM offer different approaches to quantum-computing exposure. Compare their mandates, disclosed fee measures, risks and availability.

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There is no universally “top” quantum-computing ETF: the right comparison depends on whether you want broad exposure to adjacent technologies, a quantum-focused index, or active selection. For U.S.-listed funds, three distinct approaches are Defiance Quantum ETF (QTUM), WisdomTree Quantum Computing Fund (WQTM), and Corgi Quantum Computing ETF (CQTM). Their filings disclose different mandates and fee measures; none establishes that a fund is suitable for you or predicts its returns.

How these three quantum ETFs differ

The funds are not interchangeable. QTUM and WQTM track indexes, while CQTM is actively managed. Their names also do not mean that every holding is a pure-play quantum-computing company.

Fund Filed investment approach Disclosed annual fee What distinguishes it
Defiance Quantum ETF (QTUM) Passively tracks the BlueStar Quantum Computing and Machine Learning Index, using modified equal weighting. Eligibility considers quantum and machine-learning activity. 0.40% total annual operating expenses, as reported in its 2026 SEC filing. The index covers a broader technology ecosystem, including semiconductor and other technology exposure.
WisdomTree Quantum Computing Fund (WQTM) Passively tracks the WisdomTree Classiq Quantum Computing Index. 0.45% total annual operating expenses, as reported in its 2026 SEC filing. A quantum-computing-specific index mandate; consult the fund filing for the index’s construction and eligibility rules.
Corgi Quantum Computing ETF (CQTM) Actively managed. Its stated policy ordinarily invests at least 80% of net assets in companies materially involved in quantum computing, quantum-enabled technologies, and security solutions designed for future quantum capabilities. 0.35% management fee; its 2026 prospectus also lists no 12b-1 fee and 0.00% other expenses. Active selection and an expressly stated quantum-security component; the management fee is not a complete measure of trading or ownership costs.

These are disclosures in dated SEC filings, not guaranteed future terms. Brokerage charges, bid-ask spreads, and portfolio transaction costs can add to an investor’s costs. QTUM reported 42% portfolio turnover for the fiscal year ended December 31, 2025; turnover is a historical figure, not a forecast of future trading. Check current fund documents before investing. QTUM filing, WQTM filing, CQTM filing.

What exposure does a quantum ETF actually provide?

QTUM: quantum computing plus machine learning

QTUM follows an index whose name and eligibility criteria include both quantum computing and machine learning. Its prospectus describes activity that also reaches advanced hardware, semiconductor packaging, and raw materials. As of March 31, 2026, the index had 82 constituents, 20 of which were listed outside the United States, and it was concentrated in semiconductors. Those are index characteristics at that date, not a promise about the fund’s exact current holdings or weights.

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WQTM: a quantum-branded index

WQTM tracks the WisdomTree Classiq Quantum Computing Index. The mandate is distinct from QTUM’s combined quantum-and-machine-learning index, but the fund name alone does not establish how much portfolio revenue comes directly from quantum computing. Review the index methodology and current holdings to understand company eligibility and indirect exposure.

CQTM: active selection that includes quantum security

CQTM’s policy reaches companies involved in quantum technologies as well as security solutions designed for future quantum capabilities. That broader policy is a mandate, not evidence that every holding has significant quantum-related revenue or that the strategy will identify future winners.

For all three, compare current holdings and concentration alongside the stated mandate. A company can have only partial exposure to quantum technology, with other business lines driving its results.

How to choose among the three

Start with what you mean by exposure, then verify that the fund’s actual portfolio matches your expectations. Useful comparison axes include:

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  • Index or active management: QTUM and WQTM follow indexes; CQTM is actively managed.
  • Exposure definition: Check whether the strategy includes adjacent fields such as machine learning, semiconductors, or quantum-oriented security solutions.
  • Holdings and concentration: Review the latest holdings and assess how much exposure is concentrated in a small number of companies, industries, countries, or currencies.
  • Fees and trading costs: Compare the same fee category in current prospectuses, then consider brokerage charges and spreads. The figures above are not directly identical measures because CQTM’s figure is a management fee.
  • Eligibility and access: Confirm the fund’s domicile, exchange, share class, and availability through your broker. Tax treatment depends on your location and circumstances.
  • Liquidity and price: Check trading volume and bid-ask spreads. ETF shares can trade above or below net asset value.

Recent performance alone cannot establish which fund is “best.” A performance comparison would need a common period and total-return basis, and past returns do not predict future results.

Risks to understand before buying

Commercialization may take time—or may not deliver

QTUM’s prospectus says few public companies currently have significant revenue or profit streams that can be attributed to these emerging technologies, and that quantum or machine-learning advances may not materially affect portfolio-company returns. VanEck likewise describes commercialization as uncertain and potentially many years away. A fund can hold companies associated with the theme without the technology becoming a meaningful source of their profits. VanEck’s quantum-computing fund page.

Sector and geographic concentration

QTUM’s filing describes semiconductor concentration and risks related to foreign securities, currencies, emerging markets, equity markets, and ETF trading. For its QANT fund, BlackRock also identifies technology, intellectual-property, competition, regulatory, and concentration risks. A thematic label does not diversify away the risks of the underlying companies or markets. BlackRock QANT fund page.

ETF prices, spreads, and changing terms

ETF shares trade on exchanges and can trade above or below net asset value; QTUM’s filing notes that foreign-market closures can contribute to deviations. The fee and strategy disclosures above come from 2026 filings and may change, so check current documents and trading conditions rather than relying on a ticker or old fee figure.

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International listings: UCITS options are a separate comparison

QTUM, WQTM, and CQTM are U.S.-listed ETFs. Readers elsewhere may face different broker access, exchange, share-class, and tax considerations. Two European UCITS products illustrate why a “top three” list depends on geography; their figures below are issuer-reported as of October 6, 2026, not directly interchangeable with U.S. fund disclosures.

Fund Issuer-reported structure and index Issuer-reported fee Dated size
iShares Quantum Computing UCITS ETF (QANT) Ireland-domiciled, physical UCITS ETF tracking the STOXX Global Quantum Computing Index. 0.50% TER. USD 76,366,018 in fund assets as of October 6, 2026.
VanEck Quantum Computing UCITS ETF (QNTM) Tracks the MarketVector Global Quantum Leaders Index. 0.55% total expense ratio. USD 909.8 million in net assets as of October 6, 2026.

Availability and tax treatment depend on your country and broker; these UCITS listings should not be treated as automatically accessible alternatives for every investor. See the BlackRock QANT page and VanEck QNTM page for issuer details.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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