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Guide

Quantum-Computing ETFs Ranked: Choosing Diversified Exposure in 2026

By TheFinanceBase Team 13 min read

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Quantum-computing ETFs can provide a convenient basket of companies linked to quantum hardware, software and enabling technologies, but no single fund is the universally best choice for diversified exposure. QTUM is the broadest-looking U.S. option in this group because its index combines quantum computing with machine learning; WQTM mixes quantum specialists and larger global technology companies; and UCITS investors can consider QANT, QNTM or WisdomTree’s Quantum Computing UCITS ETF. The important qualification is that a large holdings count does not eliminate thematic, technology, country or issuer concentration. Compare each fund’s index rules, current holdings, fee label, domicile and availability before investing.

At a glance (fund data checked November 2026)
Name Best for Key spec Free plan / price Platforms Checked
Defiance Quantum ETF (QTUM) U.S. investors wanting quantum plus machine-learning exposure BlueStar index; modified equal weighting; 89 holdings reported 0.40% gross expense ratio U.S.-listed ETF November 2026
WisdomTree Quantum Computing Fund (WQTM) U.S. investors seeking pure-play and diversified global leaders Classiq co-developed framework; Cboe listing 0.45% expense ratio Cboe-listed U.S. ETF November 2026
iShares Quantum Computing UCITS ETF (QANT) Eligible investors seeking a UCITS vehicle with 30 holdings STOXX Global Quantum Computing Index 0.50% total expense ratio UCITS ETF November 2026
VanEck Quantum Computing UCITS ETF (QNTM) UCITS investors preferring a patent- and focus-based screen MarketVector index; quantum-focused firms and patent leaders 0.55% total expense ratio UCITS ETF November 2026
WisdomTree Quantum Computing UCITS ETF Investors who need an Irish UCITS structure Tracks the WisdomTree Classiq Quantum Computing UCITS Index Not stated on the captured issuer page Irish UCITS ETF November 2026

What is the best quantum-computing ETF for diversified exposure?

There is no objective winner because “diversified” can mean different things: more securities, a wider range of company sizes, exposure outside pure quantum specialists, or a structure available in your country. QTUM ranks first here for a U.S. reader who wants a defined quantum-and-machine-learning index and the lowest stated fee in this group. WQTM is a reasonable alternative when the goal is a deliberately blended ecosystem of pure-play pioneers and larger global leaders. QANT, QNTM and WisdomTree’s UCITS fund are access and structure choices for investors who need UCITS eligibility rather than U.S. registration.

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This is a comparison of mandates and published fund information, not a prediction of returns or personal investment advice. Prospectuses, index methodologies and holdings can change; verify them immediately before trading.

Which funds are the leading choices?

1. QTUM: broad quantum and machine-learning exposure in a U.S. ETF

Defiance Quantum ETF (QTUM) seeks to track, before fees and expenses, the BlueStar Quantum Computing and Machine Learning Index. The index material describes a modified equal-weighted portfolio and eligibility linked to companies deriving at least 50% of annual revenue or operating activity from developing quantum-computing and machine-learning technology. That combination makes QTUM less narrowly “pure quantum” than its name might suggest.

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The issuer’s fund details dated October 30, 2026 report 89 holdings and a 0.40% gross expense ratio. The displayed holdings were dated November 2, 2026, so those figures are a snapshot rather than a permanent portfolio description. The fund’s summary prospectus is dated April 30, 2026 and was supplemented September 2, 2026; the latest filing should take priority over older summaries.

QTUM’s apparent breadth needs an important qualification. The issuer classifies it as non-diversified and states: The Funds are considered to be non-diversified, so they may invest more of its assets in the securities of a single issuer or a smaller number of issuers. A fund can own dozens of securities while still being concentrated by issuer, sector, country or investment theme. Treat the 89-holding figure as a description of the portfolio at that date, not as a guarantee of low risk.

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Best fit: a U.S.-eligible investor who wants one fund covering quantum computing and machine learning, accepts thematic volatility and is comfortable checking the index’s evolving constituents.

2. WQTM: a blended ecosystem approach for U.S. investors

WisdomTree Quantum Computing Fund (WQTM) is designed around companies across the emerging quantum ecosystem. WisdomTree describes a framework co-developed with Classiq that combines pure-play quantum pioneers with diversified global leaders. That stated mix may suit an investor who does not want a portfolio limited to small or specialized quantum companies, although the fund remains a single technology theme.

The issuer page reports a 0.45% expense ratio and an inception date of October 9, 2025, with overview data dated September 25, 2026. WQTM is listed on Cboe. Because the fund is relatively new, compare any performance history with its inception date, benchmark, currency and total-return basis rather than treating a short record as evidence of long-term superiority.

The phrase “diversified global leaders” describes the construction concept, not a promise that the fund will behave like a broad-market ETF. Read the current holdings and country and sector weights to see how much of the portfolio is actually diversified beyond quantum specialists.

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Best fit: a U.S. investor who values a stated blend of pure-play companies and larger technology leaders and accepts a slightly higher published fee than QTUM.

3. QANT: a 30-holding UCITS option

iShares Quantum Computing UCITS ETF (QANT) tracks the STOXX Global Quantum Computing Index. The issuer factsheet’s portfolio information dated October 31, 2026 reports 30 holdings and a 0.50% total expense ratio.

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Thirty holdings is a materially smaller basket than QTUM’s reported 89, but the number alone does not tell you which fund is safer. A concentrated portfolio of larger, diversified companies can have different risks from a larger portfolio containing many small or closely related businesses. Inspect the top positions, sector allocation, country allocation and overlap with funds you already own.

QANT’s UCITS format can be decisive for investors whose jurisdiction, pension wrapper or broker requires a European-regulated fund. Confirm the exact exchange, trading currency, accumulating or distributing share class and local tax treatment for the line available to you; a different share class can have different identifiers and distributions.

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Best fit: an eligible investor who wants a UCITS structure and is comfortable with the index’s 30-stock portfolio and 0.50% total expense ratio.

4. QNTM: a UCITS fund using focus and patent signals

VanEck Quantum Computing UCITS ETF (QNTM) uses a MarketVector index that, according to the September 30, 2026 factsheet, tracks companies primarily focused on quantum-computing development or leaders in quantum-related patents. This approach can capture established companies with meaningful intellectual-property activity as well as more focused developers.

The factsheet reports a 0.55% total expense ratio. Patent leadership is not the same as commercial revenue, profitability or successful technical deployment, so investors should not infer business maturity from the screen. Review the index methodology for eligibility, weighting, rebalancing and treatment of companies whose quantum work is only one part of a much larger business.

Best fit: a UCITS investor who specifically wants a methodology using quantum focus and patent leadership, and who accepts the highest stated total expense ratio among the funds with a reported fee here.

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5. WisdomTree Quantum Computing UCITS ETF: an Irish UCITS structure

WisdomTree Quantum Computing UCITS ETF seeks to track the WisdomTree Classiq Quantum Computing UCITS Index. WisdomTree identifies the vehicle as an Irish UCITS fund, and the captured issuer page shows fund characteristics as of August 28, 2026.

The supplied page does not provide a fee figure in the verified material used for this comparison. Do not substitute the 0.45% fee reported for WisdomTree’s U.S. WQTM fund: the U.S. and UCITS products are different vehicles, and their fees, share classes, listings and tax treatment can differ. Obtain the current key information document and prospectus for the exact share class before placing an order.

Best fit: an investor who needs an Irish UCITS vehicle and wants the WisdomTree/Classiq index approach, subject to confirming the current fee, listing and share-class details.

How do the index mandates differ?

The index is the fund’s rulebook. Two ETFs can use “quantum” in their names while selecting very different businesses, weighting them differently and rebalancing on different schedules.

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Mandates and selection signals (information checked November 2026)
Fund Index or framework What the published description emphasizes
QTUM BlueStar Quantum Computing and Machine Learning Index Modified equal weighting; at least 50% of revenue or operating activity tied to quantum-computing or machine-learning technology
WQTM U.S. WisdomTree framework co-developed with Classiq Pure-play quantum pioneers plus diversified global leaders across the ecosystem
QANT STOXX Global Quantum Computing Index Global quantum-computing theme; 30 holdings reported at the stated date
QNTM MarketVector quantum-computing index Companies primarily focused on quantum development or leaders in quantum-related patents
WisdomTree UCITS WisdomTree Classiq Quantum Computing UCITS Index Quantum-computing thematic exposure in an Irish UCITS fund

“Quantum company” can include hardware designers, software developers, cloud providers, semiconductor businesses, measurement equipment makers or diversified technology groups. Before buying, look for the methodology’s definitions, minimum exposure tests, liquidity rules, market-cap limits, weighting caps and rebalance frequency. Those details explain why similarly named funds can have little holdings overlap.

Does owning more holdings make a quantum ETF diversified?

No. Holdings count is only one dimension of diversification. QTUM’s 89 reported holdings coexist with the issuer’s non-diversified classification, while QANT reports 30 holdings under a different index. Concentration can arise when many positions are in the same country, industry, supply chain or technology cycle, or when a few large positions dominate the portfolio.

Use a common holdings date when comparing funds. For each ETF, record the top 10 positions, percentage in the top five, number of countries, sector weights, market-cap mix and overlap with your existing broad technology funds. A fund that adds 20 names but duplicates most of your current holdings may add less diversification than its headline count suggests.

Also distinguish company diversification from asset-allocation diversification. None of these products is a substitute for a broad portfolio of equities, bonds or cash. A quantum theme can fall even when the number of holdings is high, particularly if investors collectively reduce exposure to speculative technology or if financing conditions tighten.

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What do the expense ratios actually tell you?

An expense ratio is an operating-cost measure, not a complete estimate of what you will pay. The research reports different labels—gross expense ratio, expense ratio and total expense ratio—from different documents and dates, so compare like with like.

Published fund costs (checked November 2026)
Fund Published cost Source date Interpretation
QTUM 0.40% gross expense ratio Fund details October 30, 2026 Gross figure from the issuer page; check the prospectus for any waivers or net figure
WQTM U.S. 0.45% expense ratio Overview September 25, 2026 Issuer-listed ratio for the U.S. fund
QANT 0.50% total expense ratio Portfolio factsheet October 31, 2026 UCITS total-cost measure in the factsheet
QNTM 0.55% total expense ratio Factsheet September 30, 2026 UCITS total-cost measure in the factsheet
WisdomTree UCITS Not stated in the captured source Characteristics August 28, 2026 Find the current KID and prospectus for the exact share class

Trading commissions, bid-ask spreads, foreign-exchange conversion, fund-level transaction costs and taxes can affect your result but are not represented by a single headline ratio. A 0.05-percentage-point fee difference should not outweigh a large difference in index exposure, liquidity, tax treatment or suitability. Conversely, a higher fee is not justified merely because a theme sounds innovative.

Which structure and market should you choose?

Choose the structure you can legally buy and hold efficiently. QTUM and WQTM are U.S. funds; WQTM’s listed exchange is Cboe. QANT, QNTM and WisdomTree’s Quantum Computing UCITS ETF are UCITS vehicles, with the latter identified as Irish UCITS. Availability, currency, settlement, distribution policy and tax reporting depend on your country and the specific share class.

  1. Check eligibility: confirm whether your broker permits the fund and whether local rules restrict U.S. or non-local ETFs.
  2. Match the share class: verify ticker, ISIN or other identifier, trading currency and whether the class accumulates or distributes income.
  3. Read local documents: use the current prospectus, key information document and tax disclosures, not a third-party summary.
  4. Estimate total friction: include broker commission, currency conversion, spread and any account-level custody charge.
  5. Confirm the order venue: similar tickers can trade on multiple exchanges; select the exact listing your broker displays.

Never assume a U.S. ETF and a UCITS ETF are interchangeable because their names are similar. Domicile can affect withholding tax, reporting obligations, estate-tax exposure and which investors may purchase the shares.

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How should you check a fund before investing?

A repeatable document check is more reliable than a ranking based only on a fund name or recent chart.

  1. Start with the latest prospectus or KID. Confirm objective, principal strategies, risk factors, fee definitions, derivatives use, securities-lending policy and the fund’s diversification classification.
  2. Read the index methodology. Identify the exposure threshold, eligible exchanges, liquidity and market-cap screens, weighting formula, caps and rebalance dates.
  3. Download current holdings. Use the same date for every candidate and note the top positions, countries, sectors and company overlap.
  4. Separate theme from business quality. Ask whether a company earns meaningful revenue from quantum work, is developing intellectual property, or is included because of a broader technology role.
  5. Check the cost label and date. Record whether the number is gross, net, management-fee-only or total expense, and whether a temporary waiver applies.
  6. Verify trading details. Confirm domicile, exchange, currency, share class, assets or liquidity information if supplied, and your broker’s dealing costs.
  7. Set a review rule. Recheck holdings and documents after index rebalances, prospectus supplements, fee changes or major strategy amendments.
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What risks are specific to quantum-computing funds?

These ETFs combine ordinary equity-market risk with the uncertainty of an emerging technology theme.

  • Thematic concentration: a downturn in enthusiasm for quantum or adjacent technologies can affect many holdings at once.
  • Commercialization risk: technical progress does not guarantee recurring revenue, profits or a viable product market.
  • Small-company and financing risk: focused developers may depend on capital markets, partnerships or government contracts.
  • Technology overlap: machine learning, semiconductors, cloud infrastructure and other categories can introduce risks unrelated to quantum progress.
  • Index methodology risk: eligibility thresholds and rebalances can add or remove companies without a change in your personal view of the technology.
  • Currency and domicile risk: a foreign listing or UCITS structure can add currency movements, withholding-tax issues and different investor protections.
  • Liquidity and spread risk: a thinly traded ETF can cost more to enter or exit than its expense ratio suggests, especially in stressed markets.

Read the risk section for the exact fund. QTUM’s prospectus and issuer disclosure are particularly important because the fund is explicitly described as non-diversified.

Should you compare performance before choosing?

Only after making the comparison consistent. The verified material does not provide a comparable, same-date total-return ranking for all five products, and their inception dates, currencies, share classes, benchmarks and trading histories differ. WQTM, for example, has an inception date of October 9, 2025, so a short record cannot answer how it might behave over a full market cycle.

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If you later compare returns, use the same end date, total-return basis, currency, distribution treatment and annualization method. Include the fund’s benchmark and inception-date caveat. Do not rank a newer fund above an older one solely because its available period starts after a strong rally.

How can a quantum ETF fit into a diversified portfolio?

Think of a quantum ETF as a satellite allocation around a diversified core, not as the core itself. The appropriate amount depends on your objectives, ability to tolerate losses, time horizon, existing technology exposure and need for near-term cash; the fund documents cannot determine that allocation for you.

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Before adding one, map your existing exposure to large technology companies, semiconductors, software, artificial intelligence and innovation-themed funds. Then ask whether the ETF adds a genuinely different set of businesses or simply increases a bet you already own. Decide in advance how often you will rebalance and what would cause you to reduce the position; otherwise a fast-rising theme can quietly become an outsized share of your portfolio.

A diversified portfolio can still include a thematic fund, but diversification comes from combining assets with different drivers—not from assuming that every company connected to one theme will move independently.

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How we picked the ranked funds

The ranking uses only products and figures verified in the supplied issuer and regulatory documents. We prioritized:

  • clarity of the stated index or thematic framework;
  • how explicitly the fund describes quantum exposure versus adjacent technologies;
  • available evidence about holdings and concentration;
  • published fee information with its label and as-of date;
  • structure and geographic access, including U.S. versus UCITS format; and
  • the practical questions an investor must answer before purchase.

This is not a performance ranking. No independent, same-period return comparison or quantum-industry market-size forecast was verified for these products, so neither is used to imply a winner.

Frequently Asked Questions

What is the best quantum computing ETF?

The answer depends on your jurisdiction and what you mean by diversified. QTUM is the clearest U.S. choice for a quantum-and-machine-learning mandate, while WQTM emphasizes a blend of pure-play and larger global companies; eligible non-U.S. investors may need a UCITS fund instead.

Are quantum-computing ETFs safe investments?

No ETF removes the risks of an emerging technology theme. Even a basket can fall sharply because its holdings may share the same technology, financing, valuation and regulatory drivers.

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Can a U.S. investor buy a quantum UCITS ETF?

Broker and regulatory rules determine access, and many U.S. accounts cannot purchase particular foreign UCITS products. Check the exact listing, investor-eligibility rules, tax documents and your broker’s restrictions rather than relying on the fund name.

How often should I check an ETF’s quantum holdings?

Review the issuer’s holdings after each published rebalance and whenever the prospectus or index methodology changes. A periodic check also reveals whether the fund has become dominated by a few companies or overlaps heavily with your other technology investments.

Do quantum ETFs own only quantum-computing companies?

Not necessarily. The mandates here can include machine-learning businesses, diversified technology leaders, semiconductor or cloud companies, and firms selected for quantum-related patents. The current index methodology and holdings file provide the definitive answer for each fund.

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