According to @StockMarketNerd, IONQ, RGTI, and QBTS collectively hold roughly $25B in market capitalization and are expected to generate $122M in total 2025 revenue (source: @StockMarketNerd). Based on @StockMarketNerd’s figures, that implies an aggregate forward price-to-sales ratio of about 205x for the trio, a core valuation input for trade setup and risk calibration (source: @StockMarketNerd). Using @StockMarketNerd’s numbers, revenue density equates to roughly $4.88M per $1B of market cap, offering a simple benchmark to track any 2025 guidance changes against the current valuation (source: @StockMarketNerd). The source does not cite any direct cryptocurrency market linkage for these quantum computing names (source: @StockMarketNerd).

According to Eric Balchunas, the newly launched IONX 2x leveraged ETF, which tracks quantum computing company IONQ, spiked 73% today and has risen 220% since its debut, backed by $250 million in trading volume – 10 times its average and ranking in the top 3% among all ETFs (source: Eric Balchunas on Twitter, May 22, 2025). IONQ has positioned itself as the 'Nvidia of quantum computing,' and this explosive volatility is drawing the attention of both equity and crypto traders. The surge in trading activity and high volatility in IONX could signal increased institutional interest in quantum computing assets, which is likely to spill over to related crypto sectors, especially quantum-resistant blockchain projects. Traders should monitor quantum tech news for potential momentum shifts in crypto markets.

According to @ModestProposal1, several pure-play quantum computing stocks are currently trading at valuations of 50 times their projected 2028 sales, with only a slight chance of achieving adjusted EBITDA profitability by 2030 (source: @ModestProposal1 on Twitter). These extreme valuations indicate significant risk and speculative trading conditions. For crypto investors and traders, potential volatility in quantum computing equities may spill into correlated tech-driven crypto assets, especially those linked to AI and decentralized computing, as market sentiment shifts between risk-on and risk-off environments.