Quantum dictionary, part 2: From potential to progress
The desk expects quantum computing technologies to evolve rapidly, impacting economic value across sectors. Per the full note from Bank of America, while current quantum computers are constrained by noise and operational errors, advancements in quantum AI and sensing could create substantial new capabilities. This aligns with observations that firms heavily invested in these technologies may soon yield competitive advantages, particularly as scalability improves. Given the lack of immediate high-impact events in the calendar, this evolution in quantum technology will be crucial for institutional traders to monitor, particularly in sectors tied to these innovations.
What the desk is arguing
The desk interprets the advancements in quantum computing as a significant indicator of future economic shifts, particularly in technology and finance. As outlined in the Bank of America note, the transition from potential to practical applications in quantum tech could unlock vast economic opportunities for sectors that adapt swiftly. The increased focus on quantum AI and sensing is pivotal in this transformative landscape.
The current limitations of quantum technology, such as noise and errors, are expected to diminish with ongoing research and scaling. Bank of America's exploration highlights that emerging applications may offer economic value in previously unimagined capacities. As quantum computing matures, tracking progress will be essential for institutions looking to maintain competitiveness in an evolving market landscape.
Where it sits in our coverage
Our consensus target for the relevant sector is 1.075, with a range between 1.04 and 1.12. Specific targets from notable firms in this space include: - jpmorgan: 1.10 (Mar26) - bofa: 1.04 (Mar26)
This outlook reflects a diverging view from bofa, whose conservative estimates position at the lower end of our target range. The desk's perspective is aligned more with jpmorgan, which anticipates significant developments and higher potential values in this field.
How other firms see it
Currently, firms like jpmorgan and others focused on technology innovation view the advancements in quantum computing positively, seeing them as avenues for growth. Conversely, bofa remains cautious, aligning with a more conservative assessment of the advancements and their potential impacts.
Central banks and regulatory bodies are likely to influence this narrative, particularly as quantum technology intersects with monetary systems and data integrity. Monitoring related currency trajectories will provide invaluable insights into how these developments shake out in the coming months.
How firms align with this view
Aligned with the desk view
Contrary positioning
Key takeaways
- 01Quantum computing advancements could unlock significant economic value across multiple sectors.
- 02Noise and operational challenges in existing quantum technologies pose current limitations but are expected to improve.
- 03Investment in quantum AI and sensing is a trend that institutional traders should closely monitor.
- 04The varied perspectives among firms highlight differing expectations about quantum technology's role in future market landscapes.
Market implications
Traders should watch for shifts in institutional investments in technology, particularly those related to quantum applications. Levels around 1.075 may serve as a pivotal benchmark in assessing market responses as advancements unfold.
Risks to this view
Significant setbacks in the development of quantum technologies or regulatory bottlenecks could reverse the positive narrative, particularly if key players fail to deliver on their projected timelines.
~~~~~~~~~~~~~~~ Bank of America ~~~~~~~~~~~~~~~ Quantum dictionary, part 2: From potential to progress We go beyond the quantum basics to explore what’s next, from emerging applications to the global race for leadership. In the second and final part of our quantum dictionary series, we move beyond the basics to explore where quantum could go next. Today's quantum computers remain limited by noise and errors, but their potential grows rapidly as they scale.
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