Quantum breakthrough

Regular price
Regular price
Sale price
Unit price
Sold out
Shipping calculated at checkout.


Your Army

Quantum breakthroughs help Army, Air Force advance supercomputing

Todd South

11 hours ago

AddThis Sharing Buttons

Share to Facebook


Share to Email


Share to SMS


Share to More



Army-funded research has led to recent breakthroughs in quantum computing. Such advances could lead to supercomputers vital to future military operations. (Army photo)

As the Army builds its forces on the multi-domain operations concept for future warfighting, a core problem for today’s technologists is figuring out how to have a constant view of the battlefield and share that information across the globe.

Today’s computers simply can’t handle the immense amount of data and speed necessary for commanders and soldiers to gain a clear picture of their surroundings and the ability to use that information.




Enter quantum computing — a long sought-after solution for advancing computing processing and capabilities, which while promising is still a delicate and resource-intensive way of crunching numbers.


<img src="https://www.armytimes.com/resizer/ViBfWAcDv5Ei5pvnvL1Z3xVSi_U=/500x376/filters:quality(100)/cloudfront-us-east-1.images.arcpublishing.com/mco/B27MT47BXZC2ZP2F4RMD2ITV4U.jpg" class="image-lazy" alt="The Army has funded research to develop a microwave radiation sensor that is 100,000 times more sensitive than currently available commercial sensors. Detecting microwave radiation is key to thermal imaging, electronic warfare, radio communications and radar, but detection sensitivity limits the performance of these systems. (Army)">

Sticky tape, graphite and Army research into cutting edge sensors that may transform everything

The researchers have found promising new ways to Improve sensors, which play a role in thermal imaging, electronic warfare equipment, radio communications, radar and anything that detects or transmits a signal.

Todd South

Three recent Army science-funded breakthroughs are solving decades-old problems that could put quantum supercomputers in the hands of Army decision makers.

In recent weeks, papers published through Army and Air Force-led efforts have found new ways to correct longstanding errors in quantum methods, using machine learning techniques to improve sensing and methods to build quantum communication networks.

Traditional computers are built using transistors that turn on or off a signal, signifying a 1 or a 0, which becomes the code that the computer reads to perform tasks.








U.S. Army DEVCOM Army Research Laboratory

3.19K subscribers

Army, Air Force fund research to pursue quantum computing






<div class="player-unavailable"><h1 class="message">An error occurred.</h1><div class="submessage"><a href="https://www.youtube.com/watch?v=disjVSlWe5o" target="_blank">Try watching this video on www.youtube.com</a>, or enable JavaScript if it is disabled in your browser.</div></div>

Sign up for the Army Times Daily News Roundup

Don't miss the top Army stories, delivered each afternoon


(please select a country) United States United Kingdom Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, The Democratic Republic of The Cook Islands Costa Rica Cote D'ivoire Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, Democratic People's Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory, Occupied Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and The Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia and Montenegro Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and The South Sandwich Islands Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand Timor-leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela Viet Nam Virgin Islands, British Virgin Islands, U.S. Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe



I'm not a robot


Privacy - Terms


Thanks for signing up!

For more newsletters click here

But quantum computing uses units called qubits, offering a plethora of other ways to represent data. That option then provides exponential gains in processing power.

More processing power means more data, which leads to a wider- and higher-resolution view of what’s going on in the real world for military commanders.

Those qubits, however, are more sensitive to errors, which mean more resources in the hardware devoted to checking and correcting those errors.

Researchers at the University of Massachusetts Amherst, under funding from the Army Research Office and Air Force Office of Scientific Research, found ways in recent experiments to protect quantum information from errors caused in superconducting systems. These are the main platforms on which scientists anticipate building large-scale quantum computers, according to research published in the journal Nature.

This method allows for the errors to be spontaneously corrected, vastly improving efficiency, which would help reduce the burden on future computers.



“Efficiency is increasingly important as quantum computation systems grow in size to the scales we’ll need for Army relevant applications,” said Dr. Sara Gamble, ARO quantum information science program manager.

A separate team, at Louisiana State University, has found a way to use machine learning to correct information distortion in quantum systems that are made of photons.

The paper, published in Advanced Quantum Technologies, showed “machine learning techniques using the self-learning and self-evolving features of artificial neural networks can help correct distorted information,” according to an Army statement.





U.S. Army DEVCOM Army Research Laboratory

3.19K subscribers

Machine learning shows potential to enhance quantum information transfer






<div class="player-unavailable"><h1 class="message">An error occurred.</h1><div class="submessage"><a href="https://www.youtube.com/watch?v=Bq3YppEwE1E" target="_blank">Try watching this video on www.youtube.com</a>, or enable JavaScript if it is disabled in your browser.</div></div>

Photons essentially serve as carriers of quantum data, moving them across the network. But the information can be distorted by environmental fluctuations.

Think of sending a letter in the mail but the letter gets soaking wet, bleeding out all of the ink on the paper, making it unreadable. The letter still arrived but it’s useless and unable to be reconstructed.



This machine learning method could hold multiple applications.

Using light modes to transmit quantum information is used in quantum communication, cryptography and sensing, said Narayan Bhusal, an LSU doctoral candidate.

“Our method is remarkably effective and time-efficient compared to conventional techniques,” Bhusal noted. “This is an exciting development for the future of free-space quantum technologies.”

Lastly, scientists at the Pritzker School of Molecular Engineering at the University of Chicago, through funding and management by the U.S. Army Combat Capability Development Command, were able to send entangled qubits through a communication cable, linking two network nodes.





U.S. Army DEVCOM Army Research Laboratory

3.19K subscribers

Breakthrough lays groundwork for future quantum networks






<div class="player-unavailable"><h1 class="message">An error occurred.</h1><div class="submessage"><a href="https://www.youtube.com/watch?v=ZrLguxTQeYE" target="_blank">Try watching this video on www.youtube.com</a>, or enable JavaScript if it is disabled in your browser.</div></div>

Their work was published in the journal Nature.

“This is an exciting achievement and one that paves the way for increasingly complex experiments with additional quantum nodes that we’ll need for the large-scale quantum networks and computers of ultimate interest to the Army,” Gamble said.

Scientists must be able to transfer entangled qubits in order to scale up quantum computing, said John A. MacLean, senior professor at the University of Chicago and lead researcher for the effort.

“To send the entangled states through the communication cable—a one-meter-long superconducting cable—the researchers created an experimental set-up with three superconducting qubits in each of two nodes,” according to an Army statement. “They connected one qubit in each node to the cable and then sent quantum states, in the form of microwave photons, through the cable with minimal loss of information.”


About Todd South

Todd South has written about crime, courts, government and the military for multiple publications since 2004 and was named a 2014 Pulitzer finalist for a co-written project on witness intimidation. Todd is a Marine veteran of the Iraq War.