A New Phase in Reading Photons

Figure 1. A sinusoidal wave.

A New Phase in Reading Photons

A JQI PHOTODETECTOR BEATS THE QUANTUM LIMIT BY A FACTOR OF FOUR

“That’s not what I meant”: human communication is fraught with misinterpretation. Written out in longhand, words and letters can be misread. A telegraph clerk can mistake a dot for a dash. Noise will always be with us, but at least a new JQI (*) device has established a new standard for reading quantum information with a minimum of uncertainty.

Success has come by viewing light pulses not with a single passive detector with but an adaptive network of detectors with feedback. The work on JQI’s new, more assured photonic protocol was led by Francisco Becerra and carried out in Alan Migdall’s JQI lab. They report their results in Nature Photonics (**). Here are some things you need to know to appreciate this development.

How to Modulate?

Digital data, in its simplest form, can be read with a process called on-off keying: a detector senses the intensity of incoming bursts of electrons in wires or photons through fibers and assigns a value of 0 or 1. A more sophisticated approach to modulating a signal (not merely off/on) is to encode data in the phase of the pulse. In “phase-shift keying,” information is encoded in the amount of phase shift imposed on a carrier wave; the phase of the wave is how far along the wave cycle you happen to be (say, at the top of a crest or the bottom of a trough in a sinusoidal, as in figure 1).

What Kind of Alphabet?

Larger words can be assembled from a small suite of symbols. The Roman alphabet has 26 letters, the Greek only 24. Binary logic, and most transistors, makes do with just a two-letter alphabet. Everything is a 0 or a 1, and larger numbers and letters and words are assembled from as many binary bits as are necessary. But what if we enlarged the alphabet from two to four? In quaternary logic more data can be conveyed in a single pulse. The cost of this increase is having to write and read 4 states of modulation (or 4 symbols). Even more efficient in terms of packing data, but correspondingly more difficult to implement, is logic based on 6 states, or 8, or any higher number. Digital data at its most basic—at the level of transistor—remains in binary form, but for communicating this data, higher number alphabets can be used. In fact, high-definition television delivery already involves high-level logic.

Figure 2. Decision Threshold Lines.

Uncertainty

No matter what kind of logic is used, errors creep in. A detector doesn’t just unequivocally measure a 0 or a 1. The reading process is imperfect. And even worse, the state of the light pulse is inherently uncertain, and that is a real problem when the light pulses belong to a set of overlapping states. This is illustrated in figure 2 (above) for binary and quaternary phase states.

On the left side of the figure, the measurement of the phase of a light pulse is depicted, where there are only two choices. Is the pulse in the alpha state or the –alpha state? Because the tails of one overlap the other there is a slight ambiguity that leads to uncertainty in which state a measurement indicates. On the right, four possible states are depicted on a complex-number graph (with real (Re) and imaginary (Im) axes). Here the overlap of the states is more complicated, but results in similar ambiguities of the measured states, seen mostly near the borders (decision threshold lines) between the states.

Standard Quantum Limit

Decades ago communications theory established a minimal uncertainty for the accurate transmission and detection of information encoded in overlapping states. The hypothetical minimal detection error using conventional schemes is called the standard quantum limit and it depends on things like how many photons of light comprise the signal, how many levels (binary, quaternary, etc.) need to be read out, and which physical property of light is used to encode the information, such as the phase.

But starting in the 1970s with physicist Carl W. Helstrom, some scientists have felt that the standard quantum limit could be circumvented. The JQI researchers do exactly this by using not a single passive photo-detector, but an active detection process involving a series of stages. At each stage, the current light signal strikes a partially-silvered mirror, which peels off a fraction of the pulse for analysis and the rest goes on to subsequent stages. At each stage the signal is combined with a separate reference oscillator wave used as a phase reference against which the signal phase is determined. This is done by shifting the reference wave by a known amount and letting it interfere with the signal wave at the beamsplitter. By altering that known shift, the interference pattern can reveal something about the phase of the input pulse.

$Figure 3. Plan for a state-discriminating receiver. A signal with horizontal polarization and a local-oscillator (OL) with vertical polarization enter a polarizing beam splitter (PBS) and propagate together through a series of beam splitters (BS) and state-discriminating stages (SD). At each stage the signal interferes with a fraction of the local oscillator output.$

Figure 3. Plan for a state-discriminating receiver. A signal with horizontal polarization and a local-oscillator (OL) with vertical polarization enter a polarizing beam splitter (PBS) and propagate together through a series of beam splitters (BS) and state-discriminating stages (SD). At each stage the signal interferes with a fraction of the local oscillator output.

Figure 4. JQI Noise Reduction Achievement.

Active Detection

By combining many such stages (see figure 3) and using information gained by previous stages to adjust the phase of the reference wave in successive stages, a better estimate of the signal phase can be obtained.

Detecting phase in this adaptive way, and implemented in a feedback manner, the JQI system is able to beat the standard quantum limit for a set of 4 states (quaternary) encoding information as a phase. These states are represented as fuzzy distributions arranged at different angles around a circle as seen in figure 2 (above) where the angles represent the phase of the light pulses.

The JQI noise-reduction achievement is depicted in the graph in figure 4 (above). The error rate is plotted as a function of the mean number of photons used to deliver the information. The standard quantum limit (SQL) is the red line. The light gray line is the SQL line if you take into account that individual photon detector stages used were ~72% efficient rather than 100% (with the detector efficiencies being 84%. In the business of detecting single photons, 84% is top of the line.)

The error probabilities measured for the system (black points with error bars) fall well below the quantum limit, by about 6 decibels in the center of the curve. This is equivalent to saying that the JQI receiver is performing better than the SQL by a factor of about 4 in determining the phase of an incoming signal. That is, the JQI receiver achieves an error probability that is 4 times lower than the so-called “Standard Quantum Limit.” This graph shows results for a system that implements 10 adaptive measurements. The two other lines on the chart show what the expected uncertainty would be for a perfect system (100% efficient detectors) and without any of the imperfections that would be encountered in any realistic implementation, and a hypothetical ultimate-limit on uncertainty derived by Helstrom.

To conclude, the JQI photon receiver features an error rate four times lower than perfect conventional receivers, over a wide range of photon number, and with discrimination for four states. The only previous detection below the quantum limit was for a very narrow range of photons and with only a 2-state protocol and only slightly below the SQL.

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(*)The Joint Quantum Institute (JQI) is operated jointly by the National Institute of Standards and Technology in Gaithersburg, MD and the University of Maryland in College Park.

(**) “Experimental demonstration of a receiver beating the standard quantum limit for multiple nonorthogonal state discrimination,” by F. E. Becerra, J. Fan, G. Baumgartner, J. Goldhar, J. T. Kosloski, and A. Migdall, Nature Photonics, published online 6 January 2013.

RESEARCH CONTACT

Alan Migdall |

migdall@nist.gov

MEDIA CONTACT

Phillip F. Schewe

pschewe@umd.edu

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Read straight from JQI

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NATURE PHOTONICS | ARTICLE

Experimental demonstration of a receiver beating the standard quantum limit for multiple nonorthogonal state discrimination

Nature Photonics (2013) doi:10.1038/nphoton.2012.316

Received 28 August 2012 Accepted 13 November 2012 Published online 06 January 2013

Abstract

Measurement of the state of a quantum system with inherent quantum uncertainty (noise) approaching the ultimate physical limits is of both technological and fundamental interest. Quantum noise prevents any mutually nonorthogonal quantum states, such as coherent states, from being distinguished with perfect accuracy. Optimized quantum measurements for nonorthogonal coherent states allow, in principle, for state discrimination sensitivities surpassing the standard quantum limit. Realizing quantum receivers that can detect multiple coherent states with sensitivity levels approaching the ultimate quantum limits is fundamental to quantum-enhanced measurements, and can optimize the performance of quantum and classical communications as well as future implementations of quantum technologies. Here, we demonstrate the first quantum receiver that unconditionally discriminates four nonorthogonal coherent states with error probabilities below the standard quantum limit. This receiver achieves error rates four times lower than is possible with any ideal conventional receiver with perfect detection efficiency.

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