search

UMD     This Site





Researchers demonstrate the first single-photon transistor using a semiconductor chip. They used a single photon, stored in a quantum memory, to toggle the state of other photons. Credit: E. Edwards/Joint Quantum Institute

Researchers demonstrate the first single-photon transistor using a semiconductor chip. They used a single photon, stored in a quantum memory, to toggle the state of other photons. Credit: E. Edwards/Joint Quantum Institute

 

Transistors are tiny switches that form the bedrock of modern computing; billions of them route electrical signals around inside a smartphone, for instance.

Quantum computers will need analogous hardware to manipulate quantum information. But the design constraints for this new technology are stringent, and today’s most advanced processors can’t be repurposed as quantum devices. That’s because quantum information carriers, dubbed qubits, have to follow different rules laid out by quantum physics.

Scientists can use many kinds of quantum particles as qubits, even the photons that make up light. Photons have added appeal because they can swiftly shuttle information over long distances, and they are compatible with fabricated chips. However, making a quantum transistor triggered by light has been challenging because it requires that the photons interact with each other, something that doesn’t ordinarily happen on its own.

Now, researchers at the University of Maryland’s A. James Clark School of Engineering and Joint Quantum Institute (JQI)—led by Professor of Electrical and Computer Engineering, JQI Fellow, and Institute for Research in Electronics and Applied Physics Affiliate Edo Waks—have cleared this hurdle and demonstrated the first single-photon transistor using a semiconductor chip. The device, described in the July 6 issue of Science, is compact; roughly one million of these new transistors could fit inside a single grain of salt. It is also fast and able to process 10 billion photonic qubits every second.

“Using our transistor, we should be able to perform quantum gates between photons,” says Waks. “Software running on a quantum computer would use a series of such operations to attain exponential speedup for certain computational problems.”

The photonic chip is made from a semiconductor with numerous holes in it, making it appear much like a honeycomb. Light entering the chip bounces around and gets trapped by the hole pattern; a small crystal called a quantum dot sits inside the area where the light intensity is strongest. Analogous to conventional computer memory, the dot stores information about photons as they enter the device. The dot can effectively tap into that memory to mediate photon interactions—meaning that the actions of one photon affect others that later arrive at the chip.

“In a single-photon transistor, the quantum dot memory must persist long enough to interact with each photonic qubit,” says Shuo Sun, lead author of the new work and postdoctoral research fellow at Stanford University who was a UMD graduate student at the time of the research. “This allows a single photon to switch a bigger stream of photons, which is essential for our device to be considered a transistor.”

To test that the chip operated like a transistor, the researchers examined how the device responded to weak light pulses that usually contained only one photon. In a normal environment, such dim light might barely register. However, in this device, a single photon gets trapped for a long time, registering its presence in the nearby dot.

The team observed that a single photon could, by interacting with the dot, control the transmission of a second light pulse through the device. The first light pulse acts like a key, opening the door for the second photon to enter the chip. If the first pulse didn’t contain any photons, the dot blocked subsequent photons from getting through. This behavior is similar to a conventional transistor where a small voltage controls the passage of current through its terminals. Here, the researchers successfully replaced the voltage with a single photon and demonstrated that their quantum transistor could switch a light pulse containing around 30 photons before the quantum dot’s memory ran out.

Waks says that his team had to test different aspects of the device’s performance prior to getting the transistor to work. “Until now, we had the individual components necessary to make a single photon transistor, but here we combined all of the steps into a single chip,” he says.

Sun says that with realistic engineering improvements their approach could allow many quantum light transistors to be linked together. The team hopes that such speedy, highly connected devices will eventually lead to compact quantum computers that process large numbers of photonic qubits.

Read the Science paper here.



Related Articles:
Barg honored with 2024 IEEE Richard W. Hamming Medal
Barg is PI for new quantum LDPC codes NSF grant
New quantum framework yields generalizations of bosonic ‘cat codes’
Thoughts from Rance Cleaveland on his time at the National Science Foundation
$1M NSF award supports reimagining cryptography in a post-quantum world
Dana Dachman-Soled is Program Chair for ITC 2022
From Innovation to Inauguration
University of Maryland Launches Quantum Technology Center
UMD researchers awarded $1M NSF grant to develop new methods to generate single photons for quantum research

July 5, 2018


«Previous Story  

 

 

Current Headlines

Srivastava Named Inaugural Director of Semiconductor Initiatives and Innovation

State-of-the-Art 3D Nanoprinter Now at UMD

UMD, Partners Receive $31M for Semiconductor Research

Two NSF Awards for ECE Alum Michael Zuzak (Ph.D. ’22)

Applications Open for Professor and Chair of UMD's Department of Materials Science and Engineering

Ghodssi Honored With Gaede-Langmuir Award

Milchberg and Wu named Distinguished University Professors

New features on ingestible capsule will deliver targeted drugs to better treat IBD, Crohn’s disease

Forty years of MEMS research at the Hilton Head Workshop

Baturalp Buyukates (ECE Ph.D. ’21) Honored by IEEE ComSoc

 
 
Back to top  
Home Clark School Home UMD Home