Photonic Quantum Operations via the Quantum Carburettor Effect
Jennifer C. J. Radtke, Daniel K. L. Oi, and John Jeffers

TL;DR
This paper introduces the quantum carburettor effect, demonstrating how a large coherent state can induce a single photon through a beamsplitter, enabling high-fidelity quantum operations on light.
Contribution
It presents the first experimental test of the quantum carburettor effect and a method to implement the bare raising operator on coherent states using conditional measurement.
Findings
Single photon induction probability approaches 1/e for large coherent states
High success probability and fidelity in implementing the bare raising operator
Experimental feasibility of the quantum carburettor effect demonstrated
Abstract
The bosonic nature of light leads to counter-intuitive bunching effects. We describe an experimentally testable effect in which a single photon is induced through a highly reflecting beamsplitter by a large amplitude coherent state, with probability 1/e in the limit of large coherent state amplitude. We use this effect to construct a viable implementation of the bare raising operator on coherent states via conditional measurement, which succeeds with high probability and fidelity even in the high amplitude limit.
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Taxonomy
TopicsQuantum Information and Cryptography · Neural Networks and Reservoir Computing · Optical Network Technologies
Photonic Quantum Operations via the Quantum Carburettor Effect
Jennifer C. J. Radtke
Daniel K. L. Oi
John Jeffers
SUPA Department of Physics, University of Strathclyde, Glasgow G4 0NG, UK
Abstract
The bosonic nature of light leads to counter-intuitive bunching effects. We describe an experimentally testable effect in which a single photon is induced through a highly reflecting beamsplitter by a large amplitude coherent state, with probability in the limit of large coherent state amplitude. We use this effect to construct a viable implementation of the bare raising operator on coherent states via conditional measurement, which succeeds with high probability and fidelity even in the high amplitude limit.
pacs:
42.50.Ar, 42.50.Dv
††preprint: APS/123-QED
I Introduction
Operations on quantum states of light have a wide range of applications in quantum information processing and communication Braunstein2005 , as well as being of fundamental interest Kraus1983 . However, the operations that are easily implemented are limited to the class of Gaussian or linear operations Braunstein2005 . Conditional evolution overcomes this limitation and provides a richer set of operations useful for manipulating continuous variable systems Ban1996 ; Filip2005 ; Vitelli2010 ; Dakna1998 . Here, we show how to mimic the application of the bare raising operator to coherent state inputs using a beamsplitter, a single photon source, and a detector. In doing so we exploit a process that we call the quantum carburettor effect, whereby a strong coherent beam entrains the passage of a single photon (from an independent source) through a highly reflective beamsplitter with high probability, thereby elegantly highlighting the bosonic nature of light. This effect could also be used as a method to the characterize highly reflective beamsplitters and high mean photon number states.
Conditional measurement-based evolution is a useful tool in discrete variable systems, such as the scheme by Knill, Laflamme and Milburn for efficient linear optical computing Knill2001 . Discrete systems have been extensively studied Nielsen , but have limitations particularly apparent in communications, where loss may be significant. Continuous variable schemes show greater promise here Braunstein2005 , but while Gaussian states such as coherent or squeezed states are relatively well understood, non-Gaussian states and operations have been less well-studied Adesso2014 . Non-Gaussian operations are required for tasks such as entanglement distillation and error correction, essential to the use of continuous variables in information processing protocols. In the continuous variable regime conditional evolution allows non-Gaussian operations Braunstein2005 . There has significant interest in this approach Wenger2004 ; Walker1986 ; Parigi2007 ; Andersson2006 ; Pegg1998 ; Dakna1997 ; Ourjoumtsev2006 , as the alternative of using nonlinear optics typically succeeds with low probability due to the weakness of nonlinear susceptibilities. Operations based on conditional measurement can be concatenated and this can allow operations which would not be possible deterministically, such as probabilistic state amplification Ralph2009 ; Ferreyrol2010 ; Marek2010 ; Xiang2010 ; Usuga2010 ; Eleftheriadou2013 ; Donaldson2015 . Here we look at a different way to increase the energy of a quantum state, by implementing the ladder or bare raising operator Susskind1964 .
We first introduce the bare raising operator, then describe the basic setup for photon addition using a beamsplitter. In contrast to previous work Clausen1999 ; Escher2005 , our method works on an easily-generated state with Poisson photon number statistics such as the coherent state. The reflectivity of the beamsplitter is chosen to shape the photon number basis amplitudes of the output state to best match a photon-shifted coherent state. Our approach is not limited to coherent states as it does not rely on coherence between the input and the single-photon ancilla, and it will also provide a reasonably close implementation of the required operator on any state with similar support to a coherent state. We show that the probability of successful implementation of the operation remains high even for large coherent state amplitudes – the beamsplitter reflectivity in this case is close to unity, but the photon is still transmitted with high probability – a process that we dub the quantum carburettor effect. We examine the effect of imperfect detector efficiency and show that the operations and quantum carburettor effect persist for experimentally feasible values. We also consider a multi stage scheme.
II The bare raising operator
The bare raising and lowering operators, sometimes known as the Susskind-Glogower operators Susskind1964 , act on the space of harmonic oscillator energy eigenstates to shift the amplitudes of a state of a system up or down the ladder by exactly one quantum without modifying their relative amplitudes. They are
[TABLE]
with . Note that while , , because acting with on the ground state has no support. Unlike the more usual creation and annihilation operators and the bare operators do not introduce bosonic enhancement factors, as shown in Fig. 1. The corresponding operations are identical in their actions on a Fock state, but for a superposition or mixture of Fock states the difference between these two operations can be clearly seen. only shifts the Fock basis amplitudes up to a higher photon number, whereas after normalization increases the amplitudes of larger Fock states relative to lower ones. Therefore the bare raising and lowering operators can be used to shift the Fock state amplitudes of a quantum state up or down whilst preserving coherence, with the obvious exception of the ground state information being lost when the state is lowered.
These operators have long been of theoretical interest Susskind1964 , as they can be used in applications such as generation and manipulation of nonclassical states Steinhoff2014 or their characterization Zou2006 . Also, the bare raising operator is a Fock-space equivalent of the first Hilbert Hotel type operation Potocek2015 , which demonstrates the mathematical concept of infinity by an apparent paradox: a fully occupied hotel with infinite rooms can accommodate one more guest by moving everyone up by one room.
A scheme to synthesize arbitrary Fock states using beamsplitters and conditional measurement with single photon inputs was considered in 2005 by Escher et. al. Escher2005 . Their system consisted of a cascade of beamsplitters, each combining a single photon Fock state with the output of the previous beamsplitter. This is depicted in Fig. 2. The scheme requires single photons to make a Fock state , and succeeds when all perfectly efficient detectors do not fire. They found that the maximum probability of a given detector not firing to be
[TABLE]
for a Fock state and single photon input, leading to a output. This occurs with a beamsplitter of transmission coefficient
[TABLE]
The standard creation operator can be implemented approximately, either using postselected spontaneous parametric down conversion Clausen2001 , or using a beamsplitter, single photon and detector. We use the latter approach here, but we aim to implement the bare raising operator instead. We do this by an appropriate choice of the reflection coefficient. Recently, experimental implementations of using cavity QED Oi2013 or circuit QED Govia2012 ; Joo2016 have been proposed that may allow practical applications. Linear optical implementations of higher-order Hilbert-Hotel operations exist, but not in the Fock basis Potocek2015 . Here we replace the complexity of these proposals with linear optics in the Fock basis and postselection.
III Implementation of with a single beamsplitter
III.1 Setup
The essential setup used throughout is shown in Fig. 3, with coherent state and single photon inputs and measurement in one output mode Note1 . A coherent state of mean photon number can be written as:
[TABLE]
where is the set of Fock states. The beamsplitter relations are
[TABLE]
where . The operation implemented by this setup will be denoted to distinguish it from the ideal operation. So that does not change the relative phase of the photon number states, we choose the convention and .
The joint input state to the beamsplitter is
[TABLE]
where . This can be written in terms of the input mode creation operators acting on the joint vacuum state:
[TABLE]
Application of the beamsplitter transformation in Eq. (5) gives the joint output as:
[TABLE]
which can be expanded to give:
[TABLE]
where
[TABLE]
After conditioning on no counts at the detector in mode 3 (i.e. , 2nd term only), we find the normalized output is
[TABLE]
where the success probability is given by
[TABLE]
The output state from the beamsplitter can be tuned by adjusting the value of . We adjust to match the desired state more closely. We do this by optimizing , which is the fidelity of the beamsplitter-implemented operation with the exact operation.
III.2 Results
III.2.1 Perfect Detectors
The most striking result is the behavior of the success probability for the operation in the high or limit. The limit of Eq. (2) as is for high- Fock states. This result also holds for , as shown numerically in Fig. 4. Thus a single photon is, with high probability, transmitted through a highly-reflecting mirror by an intense light beam. We call this the quantum carburettor effect. Note that this is not due to any coherence between the photon and the coherent state, as would be the case in a Mach-Zender interferometer for instance.
The quantum carburettor effect can clearly be seen by the probability limit in Fig. 4. With a beamsplitter of the optimum reflection probability , the probability for the detection of zero photons with a perfect detector tends towards the limit . The optimum reflection probability tends towards a perfectly reflecting mirror, but even in this limit a single photon can be transmitted with probability if the appropriate amplitude coherent state is also incident on the beamsplitter.
We show the fidelity of the conditional output state after normalization with the ideal in Fig. 5, and also for comparison the fidelity of the state with the ideal . The different effect of and is clearest around , and the conditional output state has a much higher fidelity with than the state .
Numerical results indicate that the reflection probability for implementing the operation with the highest fidelity coincides closely with that for the highest success probability for large values of (). To calculate the reflection probability corresponding to the maximum success probability, we differentiate Eq. (14) w.r.t. and set equal to zero. Taking the positive solution for leads to
[TABLE]
which is valid above . Hence in the high limit Eq. (15) is a good approximation of the optimal reflection probability.
III.2.2 Inefficient Detectors
A major consideration for an experimental implementation would be the robustness to detector inefficiency. This can be accounted for by using the normally ordered measurement operator in place of a simple projection (Loudon2000, , 6.10), where is the detector efficiency (the probability that a photon incident on the detector will be counted). Numerical calculations shown in Fig. 6 indicate that the model is not affected severely by the presence of moderate inefficiency. Numerical work was done in python with the aid of the QuTiP package qutip .
Whilst moderate detector inefficiency does not prevent implementation of , for it introduces an upper bound on possible input coherent state amplitudes . This is due to the switch between two regimes: for low , the beamsplitter-implemented operation gives a better fidelity, while for higher the loss of fidelity due to the inefficiency means that simply reflecting the input coherent state gives a better fidelity. In that case the success probability is the same as the detector inefficiency, although the operation cannot be said to be implemented. The boundary between these two regimes for various values of is depicted in Fig. 7 as the point at which the ‘do nothing’ fidelity exceeds the achievable fidelity with the current set up.
IV Cascaded Operation
With a more elaborate approach, it may be possible to improve on the scheme in the previous section. Here we consider a straightforward extension of the implementation of , with extra components to correct a failed operation.
IV.1 Setup
The operation fails with 1 or more photocounts in mode 3. For the case of 1 count, we attempt the operation again on the failed output. This requires feedforward from the first detector, and an additional single photon, beamsplitter and detector as in Fig. 8. Figure 9 shows the possible measurement results at each detector, with their associated outcomes and probabilities. This may improve the success probability of the operation.
If there is no count at detector 1, then the first output state is accepted as before. If there is a count, a correction is attempted. When there is no count at detector 2 the correction is accepted and the unnormalized output state in mode 8 is
[TABLE]
where subscript 1 refers to the first beamsplitter parameters and 2 to the second. The normalization gives the probability of an initial failure (1 count at detector 1) and then an accepted correction (no counts at detector 2).
The fidelity measure used is the mean fidelity of accepted output states:
[TABLE]
where indicates zero counts at the th detector and therefore an accepted output state at the relevant beamsplitter, indicates one photocount with the possibility to correct the state, and is the fidelity of that state. The total success probability is simply .
IV.2 Results
Figure 10 shows, for various input , the possible mean fidelities against their probabilities. Points cover the full range of beamsplitter pairs, whilst the solid line indicates use of beamsplitter 1 alone. It can be seen that the best fidelity is obtained using a single beamsplitter. For lower an increase in probability is possible, but this results in a large loss of fidelity. This indicates that the strategy delivers only marginal improvement at best. We explore the reason for this later.
V Discussion and conclusions
From the basic scheme it is clear that is an experimentally-viable, high probability non-Gaussian operation with potential applications in continuous variable tasks such as entanglement distillation. The application of makes coherent states nonclassical. This is clearly seen by noting that has vanishing amplitude in the zero photon component, a sign of nonclassicality Mandel1995 .
In the presented implementation of , the maximum success probability and optimal fidelity are achievable near simultaneously; there is no need to compromise one to improve the other as is the case with the implementation of . More elaborate optical schemes may improve the success probability, as there is in principle no limit to the coherent state amplitude on which may be implemented with high probability. This was demonstrated theoretically in Oi2013 in a cavity QED setup.
To observe the quantum carburettor effect experimentally, the main components required are a single photon source and laser suitable for interference, a beamsplitter and a photodetector. As the measurement is conditioned on zero photocounts, a non-photon-number-resolving detector should be sufficient. This would allow the investigation of the probability limit for the transmission of a single photon with matched beamsplitter and .
An alternative experimental application for the quantum carburettor effect is shown in Fig. 11. The quantum carburettor effect and the existence of an optimal reflection probability dependent on leads to a peak in probability just above when is adjusted. This effect can be used to characterize highly reflecting beamsplitters, or alternatively with a variable beamsplitter to characterize high coherent states.
The poor performance of attempts to correct the failed operation with a second beamsplitter can be linked to the two photon interference and the production of a ‘hole’ in the photon number distribution of a coherent state, an effect described by Escher et al Escher2004 and depicted in Fig. 12. As increases, the optimal beamsplitter reflection coefficient for the operation on a coherent state tends towards the reflection coefficient required to create a hole around found by Escher et al. Figure 12 shows this effect for , with the optimal beamsplitter for the operation. This lack of amplitude at severely impacts on the fidelity of any attempted recovery; while any divergence from this in the first beamsplitter reduces the probability and fidelity of an initially successful operation. Hence, the attempt at correcting a failed operation is not particularly successful. Future work could consider other schemes to improve the success probability for , or look at ways to implement other non-Gaussian operations.
A scheme to implement the bare photon raising operator has been presented, using linear optics and conditioning on a measurement outcome. Through this the quantum carburettor effect (interference between a high amplitude single photon and coherent state) has been introduced and various applications considered, including characterizing beamsplitters and large coherent state amplitudes. A possible extension of the scheme was considered and found to give little improvement in success probability. These operators are experimentally realizable and of relevance in quantum information processing in continuous variable systems.
Acknowledgments
The authors acknowledge useful discussions with Brian Gerardot and Adetunmise Dada. J. C. J. Radtke acknowledges support from the EPSRC Doctoral Training Grant, University of Strathclyde.
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