Scientists smash the amount of information a photon can carry
The more information a photon can carry the sooner we can create quantum communications systems that are immune from hackers and eavesdropping.
Key takeaways
- Single photons are ideally suited for sending information in digital form because they can be used to encode 0 and 1's.
- The actual amount of information is given by the log to base 2 of the number of members.
- In an alphabet of 26 symbols, such as the English alphabet, each symbol encodes 4.7 bits.
Cite or link to this article
Griffin, M. (2016) 'Scientists smash the amount of information a photon can carry', 311 Institute, 15 November. Available at: https://www.311institute.com/scientists-smash-the-amount-of-information-a-photon-can-carry/ (Accessed: 1 October 2026).
Single photons are ideally suited for sending information in digital form because they can be used to encode 0 and 1's. As a result it is easy to imagine that this is all the data that a single photon can hold. But surprisingly that's not the case. In theory, there is no limit to the amount of information a single photon can encode. And that raises an interesting question. How much information can physicists pack into a single photon in practice? And what does current technology allow?
Today we get an answer thanks to the work of Tristan Tentrup and pals at the University of Twente in the Netherlands. They have packed more than 10 bits into a single photon for the first time.
Their method is straightforward, in theory. The approach is to associate a single photon with a unique member of an alphabet. When the alphabet contains lots of members, the photon carries lots of information.
It’s not hard to see why. When an alphabet contains only two members, such as binary code, each member encodes one bit of information. This is the amount of information needed to describe each symbol in the alphabet.
But when the alphabet is bigger, it takes more information to uniquely describe each member. So each member can encode that amount of data.
The actual amount of information is given by the log to base 2 of the number of members. For example, in an alphabet of 10 symbols, such as each decimal number, each symbol encodes about 3.3 bits. In an alphabet of 26 symbols, such as the English alphabet, each symbol encodes 4.7 bits. And so on.
Tentrup and team have managed to achieve their goal by creating an alphabet with 9,072 symbols. In that case, each symbol encodes more than 13 bits of information.
Creating this alphabet is simple. The team did it by defining a 112 x 81 grid of pixels - that’s 9,072 of them. Each pixel represents a different symbol of the alphabet. To encode a photon with one of these symbols, all they have to do is point the photon toward that part of the grid. So when a specific pixel registers the arrival of a photon, it registers that symbol.
The "Grid"
The tricky part is doing this accurately with single photons. One way to steer photons is with a tilting mirror that simply reflects them in a specific, controllable direction. But they used a more flexible device called a spatial light modulator which modifies a photon’s wavefront as it reflects it. This uses diffraction effects to steer the photon toward its target.
Detecting single photons is also a potential banana skin, since any stray light can overwhelm the signal but again the team have a handy trick for preventing this. Instead of creating single photons, they create them in pairs and encode just one of them with information using this steering mechanism. They look out for the other as a warning that the first is about to arrive at the pixel.
This allows them to switch on the pixel at the very instant the first photon arrives. And this dramatically reduces the chances of a stray photon swamping the signal. Nevertheless, noise still has an impact and the photons end up carrying slightly less information than the theoretical maximum.
The results are nonetheless impressive.
“We demonstrate high-dimensional encoding of single photons reaching 10.5 bit per photon,” says Tentrup. That significantly improves on the previous record of just seven bits per photon and immediately suggests ways to encode even more by increasing the size of the grid and the breakthrough has immediate applications. Physicists already use information encoded in single photons for applications such as the distribution of keys in quantum cryptography, known as Quantum Key Distribution (QKD).
This information is currently encoded in single photons using the binary code of 0s and 1s but the new technique immediately allows each photon to carry an order of magnitude more.
“A very promising direction for this work would then be the implementation of a large-spatial-alphabet encoding for quantum key distribution,” says Tentrup.
And when that happens it will take us another step closer to realising the promise of secure communications that can'd be hacked or eavesdropped on.
FAQ
Why does this matter?
The more information a photon can carry the sooner we can create quantum communications systems that are immune from hackers and eavesdropping.

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Photon en.wikipedia.org
- University of Twente utwente.nl
Source: first published by the 311 Institute on 15 November 2016. Cite as: Griffin, M. (2016). Scientists smash the amount of information a photon can carry. 311 Institute. https://www.311institute.com/scientists-smash-the-amount-of-information-a-photon-can-carry/
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