|Indices||Week||YTD||GSV 300||0.00%||53.10%||S&P 500||-0.20%||15.30%||Dow||-0.50%||18.50%||NASDAQ||-0.20%||25.40%||Russell 2000||-1.30%||8.70%||MSCI||-0.10%||32.20%|
|Valuations||P/E Fwd||P/E/G||GSV 300||27.5x||0.7x||S&P 500||19.4x||2.6x|
|I-Rates||Now||YTD||10-Year Note||2.40%||-2.00%||3-Month Bill||1.23%||141.20%|
|Mutual Funds||-||Week||Fund Flows (bil)||-||$4.70|
There’s a law about Moore’s law… The number of people predicting the death of Moore’s law doubles every two years.
— Peter Lee, Head of Microsoft’s New Experiences and Technologies organization (NExT)
In 1965, Gordon Moore predicted that the number of transistors on an integrated circuit would double every two years. The effect of “Moore’s Law” is that computing power has doubled — or, costs have been halved — every two years for the past 50 years.
If the automobile industry would have had its own Moore’s Law, a Ford Taurus that cost $20,000 in 1990 would essentially be free and you’d throw it away after you drove it.
Interestingly, while Moore’s Law has been the foundation and catalyst for a global technology revolution, it is not a physical or natural law… it is a conjecture. In other words, the “Law” that has transformed computing and society was really more of a vision of what could become. It was a force of will. And the belief in Moore’s Law has enabled engineers and technologists to imagine a world where you could have a computer in your pocket, self-driving cars, and personalized medicine.
But we’re reaching the end of the curve. According to the latest International Technology Roadmap for Semiconductors (ITRS) — a joint report from chip giants including Intel and Samsung — by 2021 chips will shrink to a point at which it is no longer economically viable to make them smaller. A North Star for the Global Silicon Valley, in other words, is beginning to flicker and fade.
Currently, the most advanced chips have transistors just 14 nanometers (nm) in diameter, which is thinner than the membrane of a cell wall. If Moore’s Law were to continue at its current clip, transistors would need to shrink to less than 5nm in diameter by 2020. That’s approximately 10 atoms across, or about as thin as the width of a DNA strand. At that scale, the laws of classical physics no longer suffice.
But where the door of classical physics is closing, the door of quantum physics is opening. So-called “Quantum Computing” throws out the assumptions and limitations of “Classical Computing” and is poised to define the next 50-year curve of global innovation.
QUANTUM COMPUTING FUNDAMENTALS
Classical computers encode information in “Bits” — the smallest unit into which all information is broken down. Each bit can take the value of a “1” or a “0.” These ones and zeroes, in turn, act as on/off switches that ultimately drive computer functions. And the computational power of a normal computer is dependent on the number of binary transistors — tiny power switches — that are contained within its microprocessor.
Quantum computers, on the other hand, are based on “Qubits,” which operate according to two key principles of quantum physics: “Superposition” and “Entanglement.” The punchline is that Qubits can be both a one and a zero, and that unlocks a multiple of computing power.
In Quantum Physics — the realm of the very, very small — sub-atomic particles can exist in more than one state at the same time. While classical computers depend on Bits taking one of two values, 0 or 1, Qubits, their quantum analogs, can be arranged in “states” that are best thought of as some mixture of both 0 and 1.
Think of Bits and Qubits as spheres. Bits can only exist in two states at either of the two poles of the sphere. Qubits, under Superposition, can be represented as any point on the sphere. As a result, computers using qubits are able to store much more information using less energy and space than classical computers.
To understand the implications of the power of Superposition, imagine searching for a name in a phonebook. Classical computers will have to scan every name, line-by-line and page-by-page to find a person’s phone number. As a result, classic computers would have to conduct tens of thousands of searches to find one number. Quantum computers will scan the phonebook in its entirety at once and find the number in a single search.
Qubits, on their own, have an immense amount of power. But when they are linked together, in an unique property of Quantum physics called “Entanglement,” their power increases exponentially.
A standard computer depends on the complete isolation of one bit from the next to prevent a computation from going awry. For a quantum computer, the entangling of multiple qubits is paramount. Each Qubit that is linked to another doubles the total processing capabilities. The staggering opportunity for computing power versus traditional Bits becomes clear as you move past 10 Qubits.
According to Rigetti Computing — a quantum computing pioneer backed by Andreessen Horowitz — a quantum computer with 60 Qubits can perform calculations that even today’s most powerful computers cannot. Just how many unique numbers can 100 Qubits store? 1,267,650,600,228,229,401,496,703,205,375. A 300 Qubit computer can perform more computations simultaneously than there are known atoms in the universe. A whopping 10^82 at once.
SILICON VALLEY TACKLES HARD TECH
As quantum computing moves from concept to reality, Silicon Valley is taking notice. Since 2012, there has been approximately $300 million of venture investment across 30 deals to quantum computing startups. The early trend line remains bumpy but financing activity is poised to accelerate.
Much of the innovation and investment activity has focused on three core areas: 1) Full-stack Quantum Computing (developing + deploying quantum computers), 2) Software + Implementation Tools, and 3) Cybersecurity + Novel Technology.
D-Wave Systems was the first private company to focus heavily on quantum computing and is the first company in the world to sell quantum computers. Since its founding in 1999, D-Wave has solidified its spot as an early leader in the category and currently counts companies like Alphabet, Lockheed Martin, Volkswagen and NASA as customers.
According to researchers from Google and NASA, D-Wave’s computers are more than 100 million times faster than the best classic computers. Released in January 2017, the company’s latest computer, D-Wave 2000Q, is powered by a chip with 2048 qubits. “What a D-Wave does in a second would take a conventional computer 10,000 years to do,” Hartmut Nevan, director of engineering at Google, observed at the time. D-Wave has raised over $170 million from a syndicate of investors, including Fidelity, Goldman Sachs, DFJ, and In-Q-Tel.
Rigetti Computing is another early leader developing a “full-stack” quantum computing system — from proprietary integrated circuit hardware to software, and everything in between. This Summer, Rigetti announced the public beta of Forest 1.0, a quantum programming and execution environment.
Launched in 2013 by Founder and CEO Chad Rigetti, a physics PhD who led pioneering work on quantum hardware at Yale and IBM, Rigetti Computing is a Y Combinator alum that has raised nearly $70 million from investors including Andreessen Horowitz, Bloomberg Beta, and Data Collective.
BIG TECH GOES QUANTUM
Large technology companies, including Alphabet, Intel, IBM and others have become increasingly focused on understanding quantum computing.
This year, Alphabet pledged to release a commercially viable quantum computer in the next five years. In March, IBM announced plans to offer commercial quantum machines by the end of 2017. While IBM’s 5 qubit quantum computer won’t surpass the performance of classical computers, it will be a huge stepping stone towards a new quantum reality.
A few large tech companies are focusing their efforts on quantum computing by partnering with leading academic institutions and research centers. Intel, whose microchip innovations led to the Silicon Valley we see today, committed $50 million towards quantum computing research in The Netherlands at QuTech in 2015.
Microsoft has created Station Q, a consortium of the world’s leading computer scientists, mathematicians, and physicists — all dedicated to building an universal quantum computer. As part of this initiative, Microsoft launched QuArC (Quantum Architectures and Computation Group) to focus on developing the enabling software to power quantum systems.
Other companies such as Lockheed Martin and Google have turned to partnering with startups, particularly D-Wave, to understand and accelerate the development of commercial quantum computing applications. Google is D-Wave’s largest partner and the company has access to the latest technology and updates coming out of the startup for up to seven years. Google currently operates a quantum computer from D-Wave in NASA’s Quantum Artificial Intelligence Lab (QuAIL), where it is exploring applications in areas such as search, pattern recognition, logistics and management, and Space.
Just as Moore’s Law unlocked a wave of innovation across multiple industries, quantum computing is fundamentally an enabling technology. Already, there have been a crop of startups utilizing quantum computing technology in the fields of big data, artificial intelligence, and biology, to name a few. As more commercially viable quantum computers begin to hit the market, we expect to see the technology applied more broadly.