QTUM, a quantum-computing-focused ETF, has outperformed the broader Nasdaq-100 tracker QQQ significantly in recent years, but the two funds overlap heavily in their largest holdings, limiting true diversification.

What happened: QTUM, which tracks the BlueStar Quantum Computing and Machine Learning Index using equal weighting, returned 47.39% year to date through June 12, 2026, compared with 17.42% for QQQ. Over five years, QTUM gained 245% against QQQ's 118%. The gap reflects QTUM's tilt toward smaller, specialized computing names alongside larger infrastructure players.

Why it matters: Both funds own the same mega-cap AI infrastructure companies—NVIDIA and Alphabet appear in both—which means buying them together concentrates exposure in a small cluster rather than adding meaningful diversification. QTUM's equal-weight structure and 0.40% expense ratio (versus QQQ's 0.18%) also come with sharper drawdowns during market stress, as shown during the 2022 rate shock.

What to watch: The outlook for QTUM depends on whether quantum hardware moves from research milestones to recurring revenue; if it does, the small-cap pure plays inside QTUM would become far more consequential. For now, the funds serve different roles—QQQ as a core large-cap technology allocation and QTUM as a thematic satellite for those accepting higher volatility.