Beyond AI: Are Quantum Stocks the Next Big Thing in Tech Investing?

Key Concepts

• Quantum Computing: A fundamentally different approach to computation leveraging quantum mechanics principles like superposition and entanglement.
• Qubit: The basic unit of information in quantum computing, existing in multiple states simultaneously (superposition).
• Superposition: The ability of a qubit to represent 0, 1, or both simultaneously.
• Entanglement: A phenomenon where two qubits become linked, and knowing the state of one instantly reveals the state of the other.
• Coherence Time: The duration a qubit maintains its quantum state before decoherence (loss of quantum properties) occurs.
• Fidelity: A measure of the accuracy of quantum computations; higher fidelity indicates fewer errors.
• Random Circuit Sampling: A benchmark test used to demonstrate quantum supremacy, involving simulating a random quantum circuit.
• Quantum Supremacy: The point at which a quantum computer can perform a task that no classical computer can accomplish in a reasonable timeframe.
• Call Option (in investing context): Holding a stock that has potential future benefits (like quantum computing revenue) without currently factoring those benefits into its valuation.

Quantum Computing: A Deep Dive into the Technology and Investment Landscape

Introduction

The video features a discussion with Dan Romangh, a Senior Equity Research Analyst at Morningstar, regarding the recent surge in interest surrounding quantum computing stocks. While acknowledging the transformative potential of the technology, the analysis emphasizes a cautious approach to investment, highlighting the significant technological hurdles and inflated market expectations.

Understanding Quantum Computing: A Paradigm Shift

Quantum computing represents a departure from traditional binary computing (bits representing 0 or 1). It utilizes the properties of quantum mechanics – specifically superposition and entanglement – to perform calculations.

• Superposition: A qubit, unlike a bit, can exist in a combination of states (0 and 1 simultaneously), allowing it to explore multiple possibilities concurrently.
• Entanglement: When two qubits are entangled, their fates are intertwined. Measuring the state of one instantly reveals the state of the other, regardless of distance.
• Exponential Speedup: These properties enable quantum computers to potentially solve certain problems exponentially faster than classical computers by evaluating all possible outcomes simultaneously. However, the output isn’t definitive; it’s a probability distribution, meaning results are probabilistic rather than certain (e.g., 1+1 is probably 2).

The Recent Surge in Interest: Google’s Willow Chip and Beyond

The recent spike in investor enthusiasm began in December 2023 with Google’s announcement of its Willow quantum processor. Google demonstrated that Willow could perform a complex task – random circuit sampling – in minutes, a task estimated to take the world’s most powerful supercomputer 10 septillion years.

• Random Circuit Sampling: This benchmark involves simulating a quantum circuit and verifying its quantum behavior. It’s a computationally intensive task for classical computers.
• Follow-up Announcements: Amazon and Microsoft quickly followed with announcements of their own quantum chips (Ocelot and Myorian, respectively), further fueling the hype.
• Meme Stock Phenomenon: The resulting surge in stock prices of publicly traded quantum computing companies (e.g., Rigetti, D-Wave) resembled a “meme stock” situation, driven by speculation rather than fundamental performance. Even Nvidia’s Jensen Huang initially dismissed the technology before reversing course and announcing significant investment.

Quantum vs. Artificial Intelligence: A Comparative Perspective

While both quantum computing and AI are attracting investor attention, they operate on different timelines. AI is currently more accessible and generating immediate returns, leading to greater enterprise investment. Quantum computing is viewed as a potentially powerful tool for AI in the future, but its immediate applications are more limited.

Technological Challenges and the Path to Mainstream Adoption

Despite the promise, significant technological hurdles remain before quantum computing becomes mainstream:

• Qubit Stability (Coherence Time): Qubits are extremely fragile, maintaining their quantum state for only fractions of a second. Extending coherence time is crucial.
• Error Correction: Quantum computations are prone to errors due to the probabilistic nature of qubits. Achieving high fidelity (low error rates) is essential. Current fidelity is around 99.9%, far below the 99.999999999% required for reliable calculations (analogous to the recall of flawed Intel Pentium chips due to a much lower error rate).
• Scalability: Building and maintaining large-scale, stable quantum computers is a monumental engineering challenge.

Morningstar analysts estimate that widespread adoption is 5-10 years away, with initial applications likely to emerge in areas like drug discovery and materials science. Pilot programs are underway, but widespread capacity is still lacking.

Market Size and Investment Opportunities

Estimating the potential market size is challenging. While some consulting firms predict trillion-dollar markets, Morningstar’s analysis suggests a more conservative estimate of around $200 billion within 20-30 years. This estimate is based on the potential impact on industries like pharmaceuticals, chemicals, logistics, and finance, assuming a modest increase in R&D spending (around 50 basis points) within those sectors.

Evaluating Publicly Traded Quantum Companies

The four publicly traded quantum computing companies currently have minimal revenue, are unprofitable, and rely on capital markets for funding. Their high market capitalization reflects significant investor expectations that are not currently supported by fundamentals. Morningstar advises caution regarding these stocks.

Investment Strategy: A “Call Option” Approach

Rather than investing directly in pure-play quantum computing companies, Morningstar recommends gaining exposure through established technology giants like IBM, Microsoft, Amazon, and Google. These companies are investing heavily in quantum research and development, and their stock prices already reflect some of the potential upside. This approach is described as a “call option” – investors benefit from potential future quantum computing revenue without explicitly factoring it into their current valuation.

Notable Quote:

“If you are thinking that you want some sort of nearterm immediate return from investing in some hot quantum stock I don't think that is reality…you need to be patient and then be investing for the long term if you if you want to do anything in quantum right now.” – Dan Romangh, Morningstar Senior Equity Research Analyst.

Different Technological Approaches

There are numerous approaches to building qubits, including superconducting qubits (used by Google), myron firm qubits (Microsoft), and cat qubits (Amazon). No single approach has emerged as dominant, and research is ongoing across multiple platforms.

Conclusion

Quantum computing holds immense potential, but it remains a nascent technology facing significant challenges. Investors should approach the sector with patience, caution, and a long-term perspective. Gaining exposure through established technology companies offers a more prudent strategy than investing in speculative pure-play quantum stocks. The key takeaway is that while the future of quantum computing is promising, it’s still a long way from delivering tangible returns.