Scientists based at the AWS Center for Quantum Computing on Caltech's campus have made a leap forward in figuring out how to suppress errors in quantum computers, a pesky problem that continues to be the greatest hurdle to building the machines of the future.
Quantum computers, which are based on the seemingly magical properties of the quantum realm, hold promise for use in many different fields, including medicine, materials science, cryptography, and fundamental physics. But while today's quantum computers can be useful for studying niche areas of physics, a general-purpose quantum computer capable of solving more advanced problems is not yet possible due to its inherent sensitivity to noise. Vibrations, heat, electromagnetic interference from cell phones and Wi-Fi networks, or even cosmic rays and radiation from outer space, can all knock qubits—quantum bits—out of their quantum state. As a result, quantum computers make a lot more errors than their classical computer counterparts.
Reporting in the February 26 issue of the journal Nature, a team of scientists from AWS and Caltech demonstrate a new quantum chip architecture for suppressing errors using a type of qubit known as a cat qubit. Cat qubits were first proposed in 2001, and, since then, researchers have developed and refined them. Now, the AWS team has put together the first scalable cat qubit chip that can be used to efficiently reduce quantum errors. Called Ocelot, the new quantum computing chip is named after the spotted wild cat, while also giving a nod to internal "oscillator" technology that underlies the cat qubits.
"For quantum computers to be successful, we need error rates to be about a billion times better than they are today," says Oskar Painter (PhD '01), John G Braun Professor of Applied Physics and Physics at Caltech and head of quantum hardware at AWS. "Error rates have been going down about a factor of two every two years. At this rate, it would take us 70 years to get to where we need to be. Instead, we are developing a new chip architecture that may be able to get us there faster. That said, this is an early building block. We still have a lot of work to do."
Qubits are based on 1s and 0s like those in classical computers but the 1s and 0s are in a state of superposition. That means they can take on any combination of 1 and 0 simultaneously. It also means that they are fragile and can very easily fall out of superposition. "What makes qubits powerful also makes them sensitive to quantum errors," Painter says.
Classical digital computer systems have a straightforward way of handling errors. Basically, the designers of these systems use additional redundant bits to protect data from errors. For example, a single bit of information is replicated across three bits, so that any one bit has two backup partners. If one of those bits has an error (flips from 1 to 0 or 0 to 1), and the other two haven't flipped, a simple code—in this case, what is called a three-bit repetition code—can be used to detect the error and restore the odd bit out.
Due to the complexity of superposition found in qubits, they can have two types of errors: bit flips, as in the classical digital systems, and phase flips, in which the qubit states of 1 and 0 become out of phase (or out of sync) with each other. Researchers have developed many strategies to handle both error types in quantum systems, but the methods require qubits to have a significant number of backup partners. In fact, current qubit technologies may require thousands of additional qubits to provide the desired level of protection from errors. This would be like a newspaper outlet employing a huge building of fact checkers to verify the accuracy of its articles instead of just a small team. The overhead for quantum computers is excessive and unwieldy.
"We are on a long-term quest to build a useful quantum computer to do things even the best supercomputers cannot do, but scaling them up is a huge challenge," says study co-author Fernando Brandão, Bren Professor of Theoretical Physics at Caltech and director of applied science at AWS. "So, we are trying new approaches to error correction that will reduce the overhead."
The team's new scheme relies on a type of qubit formed from superconducting circuits made of microwave oscillators, in which the 1 and 0 states representing the qubit are defined as two different large-scale amplitudes of oscillation. This makes the qubit states very stable and impervious to bit-flip errors. "You can think of the two oscillating states as being that of a child on a swing, who is swinging at high amplitudes, but is either swinging to the left or to the right. A wind might come up and jostle the swing, but the amplitude of oscillation is so large that it can't rapidly switch from one direction of swinging to the other," Painter explains.
In fact, the name “cat” qubits refers to the ability of these qubits to take on two very large, or macroscopic states, at the same time—just like the famous cat in Erwin Schrödinger's thought experiment, which can be both dead and alive simultaneously.
With the cat qubits having dramatically reduced bit-flip errors, the only errors left to correct are the phase flip errors. And correcting just one type of error means that the researchers can use a repetition code like those used to fix bit-flip errors in classical systems.
"A classical code like the repetition code in Ocelot means that the new chips will not require as many qubits to correct errors," Brandão says. "We have demonstrated a more scalable architecture that can reduce the number of additional qubits needed for error correction by up to 90 percent."
The Ocelot chip achieves this by combining five cat qubits, along with special buffer circuits to stabilize their oscillation, and four ancillary qubits to detect phase errors. The results presented in the Nature article show that the team's simple repetition code is effective at catching the phase flip errors and improves as the code increases from three cat qubits to five cat qubits. What is more, the phase error-detection process was implemented in a way that maintained a high level of bit-flip error suppression in the cat qubits.
This proof-of-concept demonstration still has a way to go, but Painter says he is excited by the performance that Ocelot has demonstrated so quickly and that the team is doing more research to scale up the technology. "It's a very hard problem to tackle, and we will need to continue to invest in basic research, while staying connected to, and learning from, important work being done in academia," he says.
The Nature study titled "Hardware-efficient quantum error correction via concatenated bosonic qubits," was funded by AWS. In addition to many AWS researchers, other Caltech authors are John Preskill, Richard P. Feynman Professor of Theoretical Physics and the Allen V. C. Davis and Lenabelle Davis Leadership Chair of the Institute for Quantum Information and Matter, or IQIM, and Gil Refael, the Taylor W. Lawrence Professor of Theoretical Physics.
Scientists based at the AWS Center for Quantum Computing on Caltech's campus have made a leap forward in figuring out how to suppress errors in quantum computers, a pesky problem that continues to be the greatest hurdle to building the machines of the future.
Quantum computers, which are based on the seemingly magical properties of the quantum realm, hold promise for use in many different fields, including medicine, materials science, cryptography, and fundamental physics. But while today's quantum computers can be useful for studying niche areas of physics, a general-purpose quantum computer capable of solving more advanced problems is not yet possible due to its inherent sensitivity to noise. Vibrations, heat, electromagnetic interference from cell phones and Wi-Fi networks, or even cosmic rays and radiation from outer space, can all knock qubits—quantum bits—out of their quantum state. As a result, quantum computers make a lot more errors than their classical computer counterparts.
Reporting in the February 26 issue of the journal Nature, a team of scientists from AWS and Caltech demonstrate a new quantum chip architecture for suppressing errors using a type of qubit known as a cat qubit. Cat qubits were first proposed in 2001, and, since then, researchers have developed and refined them. Now, the AWS team has put together the first scalable cat qubit chip that can be used to efficiently reduce quantum errors. Called Ocelot, the new quantum computing chip is named after the spotted wild cat, while also giving a nod to internal "oscillator" technology that underlies the cat qubits.
"For quantum computers to be successful, we need error rates to be about a billion times better than they are today," says Oskar Painter (PhD '01), John G Braun Professor of Applied Physics and Physics at Caltech and head of quantum hardware at AWS. "Error rates have been going down about a factor of two every two years. At this rate, it would take us 70 years to get to where we need to be. Instead, we are developing a new chip architecture that may be able to get us there faster. That said, this is an early building block. We still have a lot of work to do."
Qubits are based on 1s and 0s like those in classical computers but the 1s and 0s are in a state of superposition. That means they can take on any combination of 1 and 0 simultaneously. It also means that they are fragile and can very easily fall out of superposition. "What makes qubits powerful also makes them sensitive to quantum errors," Painter says.
Classical digital computer systems have a straightforward way of handling errors. Basically, the designers of these systems use additional redundant bits to protect data from errors. For example, a single bit of information is replicated across three bits, so that any one bit has two backup partners. If one of those bits has an error (flips from 1 to 0 or 0 to 1), and the other two haven't flipped, a simple code—in this case, what is called a three-bit repetition code—can be used to detect the error and restore the odd bit out.
Due to the complexity of superposition found in qubits, they can have two types of errors: bit flips, as in the classical digital systems, and phase flips, in which the qubit states of 1 and 0 become out of phase (or out of sync) with each other. Researchers have developed many strategies to handle both error types in quantum systems, but the methods require qubits to have a significant number of backup partners. In fact, current qubit technologies may require thousands of additional qubits to provide the desired level of protection from errors. This would be like a newspaper outlet employing a huge building of fact checkers to verify the accuracy of its articles instead of just a small team. The overhead for quantum computers is excessive and unwieldy.
"We are on a long-term quest to build a useful quantum computer to do things even the best supercomputers cannot do, but scaling them up is a huge challenge," says study co-author Fernando Brandão, Bren Professor of Theoretical Physics at Caltech and director of applied science at AWS. "So, we are trying new approaches to error correction that will reduce the overhead."
The team's new scheme relies on a type of qubit formed from superconducting circuits made of microwave oscillators, in which the 1 and 0 states representing the qubit are defined as two different large-scale amplitudes of oscillation. This makes the qubit states very stable and impervious to bit-flip errors. "You can think of the two oscillating states as being that of a child on a swing, who is swinging at high amplitudes, but is either swinging to the left or to the right. A wind might come up and jostle the swing, but the amplitude of oscillation is so large that it can't rapidly switch from one direction of swinging to the other," Painter explains.
In fact, the name “cat” qubits refers to the ability of these qubits to take on two very large, or macroscopic states, at the same time—just like the famous cat in Erwin Schrödinger's thought experiment, which can be both dead and alive simultaneously.
With the cat qubits having dramatically reduced bit-flip errors, the only errors left to correct are the phase flip errors. And correcting just one type of error means that the researchers can use a repetition code like those used to fix bit-flip errors in classical systems.
"A classical code like the repetition code in Ocelot means that the new chips will not require as many qubits to correct errors," Brandão says. "We have demonstrated a more scalable architecture that can reduce the number of additional qubits needed for error correction by up to 90 percent."
The Ocelot chip achieves this by combining five cat qubits, along with special buffer circuits to stabilize their oscillation, and four ancillary qubits to detect phase errors. The results presented in the Nature article show that the team's simple repetition code is effective at catching the phase flip errors and improves as the code increases from three cat qubits to five cat qubits. What is more, the phase error-detection process was implemented in a way that maintained a high level of bit-flip error suppression in the cat qubits.
This proof-of-concept demonstration still has a way to go, but Painter says he is excited by the performance that Ocelot has demonstrated so quickly and that the team is doing more research to scale up the technology. "It's a very hard problem to tackle, and we will need to continue to invest in basic research, while staying connected to, and learning from, important work being done in academia," he says.
The Nature study titled "Hardware-efficient quantum error correction via concatenated bosonic qubits," was funded by AWS. In addition to many AWS researchers, other Caltech authors are John Preskill, Richard P. Feynman Professor of Theoretical Physics and the Allen V. C. Davis and Lenabelle Davis Leadership Chair of the Institute for Quantum Information and Matter, or IQIM, and Gil Refael, the Taylor W. Lawrence Professor of Theoretical Physics.
Scientists based at the AWS Center for Quantum Computing on Caltech's campus have made a leap forward in figuring out how to suppress errors in quantum computers, a pesky problem that continues to be the greatest hurdle to building the machines of the future.
Quantum computers, which are based on the seemingly magical properties of the quantum realm, hold promise for use in many different fields, including medicine, materials science, cryptography, and fundamental physics. But while today's quantum computers can be useful for studying niche areas of physics, a general-purpose quantum computer capable of solving more advanced problems is not yet possible due to its inherent sensitivity to noise. Vibrations, heat, electromagnetic interference from cell phones and Wi-Fi networks, or even cosmic rays and radiation from outer space, can all knock qubits—quantum bits—out of their quantum state. As a result, quantum computers make a lot more errors than their classical computer counterparts.
Reporting in the February 26 issue of the journal Nature, a team of scientists from AWS and Caltech demonstrate a new quantum chip architecture for suppressing errors using a type of qubit known as a cat qubit. Cat qubits were first proposed in 2001, and, since then, researchers have developed and refined them. Now, the AWS team has put together the first scalable cat qubit chip that can be used to efficiently reduce quantum errors. Called Ocelot, the new quantum computing chip is named after the spotted wild cat, while also giving a nod to internal "oscillator" technology that underlies the cat qubits.
"For quantum computers to be successful, we need error rates to be about a billion times better than they are today," says Oskar Painter (PhD '01), John G Braun Professor of Applied Physics and Physics at Caltech and head of quantum hardware at AWS. "Error rates have been going down about a factor of two every two years. At this rate, it would take us 70 years to get to where we need to be. Instead, we are developing a new chip architecture that may be able to get us there faster. That said, this is an early building block. We still have a lot of work to do."
Qubits are based on 1s and 0s like those in classical computers but the 1s and 0s are in a state of superposition. That means they can take on any combination of 1 and 0 simultaneously. It also means that they are fragile and can very easily fall out of superposition. "What makes qubits powerful also makes them sensitive to quantum errors," Painter says.
Classical digital computer systems have a straightforward way of handling errors. Basically, the designers of these systems use additional redundant bits to protect data from errors. For example, a single bit of information is replicated across three bits, so that any one bit has two backup partners. If one of those bits has an error (flips from 1 to 0 or 0 to 1), and the other two haven't flipped, a simple code—in this case, what is called a three-bit repetition code—can be used to detect the error and restore the odd bit out.
Due to the complexity of superposition found in qubits, they can have two types of errors: bit flips, as in the classical digital systems, and phase flips, in which the qubit states of 1 and 0 become out of phase (or out of sync) with each other. Researchers have developed many strategies to handle both error types in quantum systems, but the methods require qubits to have a significant number of backup partners. In fact, current qubit technologies may require thousands of additional qubits to provide the desired level of protection from errors. This would be like a newspaper outlet employing a huge building of fact checkers to verify the accuracy of its articles instead of just a small team. The overhead for quantum computers is excessive and unwieldy.
"We are on a long-term quest to build a useful quantum computer to do things even the best supercomputers cannot do, but scaling them up is a huge challenge," says study co-author Fernando Brandão, Bren Professor of Theoretical Physics at Caltech and director of applied science at AWS. "So, we are trying new approaches to error correction that will reduce the overhead."
The team's new scheme relies on a type of qubit formed from superconducting circuits made of microwave oscillators, in which the 1 and 0 states representing the qubit are defined as two different large-scale amplitudes of oscillation. This makes the qubit states very stable and impervious to bit-flip errors. "You can think of the two oscillating states as being that of a child on a swing, who is swinging at high amplitudes, but is either swinging to the left or to the right. A wind might come up and jostle the swing, but the amplitude of oscillation is so large that it can't rapidly switch from one direction of swinging to the other," Painter explains.
In fact, the name “cat” qubits refers to the ability of these qubits to take on two very large, or macroscopic states, at the same time—just like the famous cat in Erwin Schrödinger's thought experiment, which can be both dead and alive simultaneously.
With the cat qubits having dramatically reduced bit-flip errors, the only errors left to correct are the phase flip errors. And correcting just one type of error means that the researchers can use a repetition code like those used to fix bit-flip errors in classical systems.
"A classical code like the repetition code in Ocelot means that the new chips will not require as many qubits to correct errors," Brandão says. "We have demonstrated a more scalable architecture that can reduce the number of additional qubits needed for error correction by up to 90 percent."
The Ocelot chip achieves this by combining five cat qubits, along with special buffer circuits to stabilize their oscillation, and four ancillary qubits to detect phase errors. The results presented in the Nature article show that the team's simple repetition code is effective at catching the phase flip errors and improves as the code increases from three cat qubits to five cat qubits. What is more, the phase error-detection process was implemented in a way that maintained a high level of bit-flip error suppression in the cat qubits.
This proof-of-concept demonstration still has a way to go, but Painter says he is excited by the performance that Ocelot has demonstrated so quickly and that the team is doing more research to scale up the technology. "It's a very hard problem to tackle, and we will need to continue to invest in basic research, while staying connected to, and learning from, important work being done in academia," he says.
The Nature study titled "Hardware-efficient quantum error correction via concatenated bosonic qubits," was funded by AWS. In addition to many AWS researchers, other Caltech authors are John Preskill, Richard P. Feynman Professor of Theoretical Physics and the Allen V. C. Davis and Lenabelle Davis Leadership Chair of the Institute for Quantum Information and Matter, or IQIM, and Gil Refael, the Taylor W. Lawrence Professor of Theoretical Physics.
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