QTUM: Defiance Quantum ETF
Tracks the BlueStar Quantum Computing and Machine Learning Index, an adjusted-equal-weighted index of companies in quantum computing and machine learning. Roughly equal-weighted, so top positions are small and rotate often. Managed by Defiance ETFs with a 0.40% expense ratio. 7 of its top 10 holdings are in the Supercycle AI universe, and those holdings carry an average AI Exposure Score of 42 (Growing tier).
Holdings and expense ratio per the issuer, as of . Funds rebalance; verify current holdings with Defiance ETFs. Not investment advice.
Top holdings, scored
| # | Holding | Market cap | AI score | Buildout layers |
|---|---|---|---|---|
| 1 | HQHorizon Quantum | $730.78M | 22 | Quantum Computing |
| 2 | ARQQArqit Quantum(untracked) | - | - | - |
| 3 | ESTCElastic | $9.13B | 40 | AI Software & PlatformsCloud & Hyperscalers |
| 4 | Global Unichip (Taiwan)Global Unichip (Taiwan)(untracked) | - | - | - |
| 5 | SNOWSnowflake | $117.28B | 45 | Cloud & HyperscalersAI Software & Platforms |
| 6 | PLTRPalantir Technologies | $426.88B | 85 | AI Software & PlatformsDefense & Aerospace AIAI Applications |
| 7 | NTNXNutanix | $18.87B | 25 | Cloud & HyperscalersAI Software & Platforms |
| 8 | RDNTRadNet | $5.98B | 45 | AI Healthcare |
| 9 | NETCloudflare | $115.23B | 35 | Cloud & HyperscalersCybersecurity AI |
| 10 | NIPNFNEC (Japan)(untracked) | - | - | - |
Market data as of the close on . Prices are end of day, not live.
Where it sits in the buildout
QTUM's tracked top holdings concentrate in these layers:
Frequently asked questions
What are QTUM's top holdings?
As of 2026-08-20, QTUM's top 10 holdings are HQ, ARQQ, ESTC, Global Unichip (Taiwan), SNOW, PLTR, NTNX, RDNT, NET, NIPNF. Holdings change as the fund rebalances; the issuer's site has the current full list.
Is QTUM a good way to get AI exposure?
That depends on the exposure wanted, which is a personal decision, but the data says this: 7 of QTUM's top 10 holdings are in the Supercycle AI universe (HQ, ESTC, SNOW, PLTR, NTNX, RDNT, NET), with an average AI Exposure Score of 42 (Growing tier). Its expense ratio is 0.40% per year.
Other AI ETFs
Funds versus picking layers is covered in the Start Here guide; all AI ETFs are compared on the AI ETFs page.