Multiplexed Readout of Transmon Qubits with Josephson Bifurcation Amplifiers
Achieving individual qubit readout is a major challenge in the development of scalable superconducting quantum processors. We have implemented the multiplexed readout of a four transmon qubit circuit using non-linear resonators operated as Josephson bifurcation amplifiers. We demonstrate the simultaneous measurement of Rabi oscillations of the four transmons. We find that multiplexed Josephson bifurcation is a high-fidelity readout method, the scalability of which is not limited by the need of a large bandwidth nearly quantum-limited amplifier as is the case with linear readout resonators.
Since the demonstration of quantum coherence in single Cooper pair boxes (1); (2), the coherence time of superconducting quantum bits (qubits) has increased by orders of magnitude (3); (4); (5), and high-fidelity operation has been achieved (6); (7). Quantum speedup of the Deutsch-Josza (8), Grover search (9) and Shor’s factorization (10) algorithms, as well as deterministic teleportation (11) and measurement-based entanglement (12); (13) protocols, were recently demonstrated in circuits with few (2-5) qubits. Nevertheless, no superconducting quantum processor able to run algorithms demonstrating the power of quantum computation (14) has been operated yet. Making operational processors with a large number of qubits faces the challenge of maintaining quantum coherence in complex circuits, of implementing multiple individual qubit readout, and of performing high-fidelity gates in parallel with quantum error correction. Much effort is presently devoted to solving these different scalability issues (15).
We address here the problem of simultaneous readout of transmon qubits (3) in a single shot. Readout of Josephson qubits is commonly performed by coupling each of them to a linear microwave resonator whose resonance frequency is shifted by a qubit-state dependent value (16). Measuring the reflection or the transmission of a microwave pulse by the resonator then reveals the qubit state (17). High-fidelity readout has been reached in several experiments (20); (21) by using quantum-limited Josephson parametric amplifiers (18). Besides, simultaneous readout of several qubits was achieved by using resonators with staggered frequencies, all coupled to a single line on which microwave readout pulses were frequency multiplexed (19). However, reaching single-shot fidelity in this case requires parametric amplifiers with both large bandwidth to accommodate all of these frequencies, and large saturation power to linearly amplify all simultaneous pulses. The recent implementation of this method in a four-transmon circuit (22) achieved fast readout with a fidelity compatible with surface-code error correction.
An alternative method for transmon readout that does not require a Josephson parametric amplifier consists in turning each readout resonator into a non-linear one, operated as a Josephson bifurcation amplifier (JBA) (24); (25); (26). Indeed, driving a JBA with a suitable microwave pulse yields a fast and hysteretic transition between dynamical states with widely different field amplitude and phase, which can discriminate with high fidelity the transmon ground state from its excited states . The determination of the dynamical state then requires a subsequent longer measuring time at a lower power level (27). In this work, we demonstrate multiplexed high-fidelity single shot readout of four transmons using the circuit described in Fig. 1.
The chip consists of four cells, labeled , coupled to a single transmission line that carries the multiple qubit control and JBA signals. The sample is fabricated on a sapphire substrate as indicated in the supplemental material (28). It is measured in a dilution refrigerator with base temperature . Each transmon includes a superconducting quantum interference device (SQUID) - see Fig. 1(d) - that makes its transition frequency tunable with magnetic field (29). In this experiment dedicated to readout, only a global magnetic field produced by a single coil can be applied to all transmons simultaneously. Each qubit is coupled to its JBA with a coupling constant . The JBAs have staggered frequencies around separated by 61, 69, and , and quality factors of 2500, 2550, 2650, and 2200. All have the same Kerr non linearity (30).
The qubits are controlled resonantly and we note a rotation of qubit by an angle between its states and . The microwave control pulses at frequencies as well as the readout pulses at frequencies are obtained by single sideband mixing as explained in the SI [see also Fig. 1(a)]. Driven at frequencies chosen below their bare frequencies, the JBAs switch at bifurcation from a state with average photon number to (30); (31).
The transmon-JBA detuning determines both the readout sensitivity (through ) and the Purcell energy relaxation rate of the qubit through the resonator input line (3). The readout pulses have a first short 25 ns long step [see Fig. 2(b)] and a longer 2 µs latching step at 85% of the peak power. In practice, bifurcation develops (or not) between and , whereas I and Q are averaged between 325 ns and 1325 ns. Readout pulses can overlap in time [see for instance Fig. 4(a)] so that the output signal contains contributions of different JBAs. In order to extract these contributions, an analog and a digital demodulation at the readout carrier frequency are performed as indicated in (28). The outcome of a readout sequence is thus four points in the in-phase and quadrature plane.
Spectroscopic data of the qubits and readout resonators as a function of the coil current are displayed in Fig. 1(d). This data was recorded at high excitation power to show spectroscopic lines at both and . Frequencies of tunable qubits peak at about 0.7-1 GHz below the frequency of their respective JBA, and the anharmonicity . The measured relaxation times of all transmons are found to be in the range for . This is significantly below the Purcell limit and shorter than in comparable 2D transmon circuits (22), probably due to dielectric losses (23).
All qubit-readout cells yielded similar performances at equal detuning . Performance of cell , operated at a qubit-JBA detuning , is summarized in Fig. 2. All qubit control pulses have long Gaussian rises and falls with , as shown in Fig. 2(a). Numerical simulations of the transmon dynamics including its three lowest levels show that such control pulses do not introduce preparation errors larger than 0.1% (33). Readout is performed either immediately after applying a Rabi pulse, or after a subsequent pulse that shelves the excited qubit in state , as in (25). This shelving decreases the error made in measuring the excited qubit by blocking its relaxation down to state before the measurement is completed (32).
The density plot of obtained from repetitions of the readout after a pulse is shown in the left inset of Fig. 2(b). The two clouds with a small relative overlap of order (estimated from the corresponding histogram in the right inset) reveal an excellent discrimination of the JBA states. The fidelity of the qubit to JBA mapping is investigated by measuring the variations of the switching probability as a function of the peak readout power . These so-called S-curves are shown in Fig. 2(d) in three different cases: when the qubit is left in its ground state with no applied control pulse (blue), after a pulse aiming at preparing state (red), and after a pulse followed by a shelving pulse (magenta). One observes that the S-curves for the two states and are separated in by about (or equivalently by in resonator or drive frequency), which is much larger than the () width of the ground state S-curve, defined here by . This result implies that, in absence of preparation errors and relaxation before and during measurement, readout errors would be negligible.
In practice, at the optimal powers [see Fig. 2(d)], the measured total errors are 1.1% for , and 3.1 % and 2.2% for without and with shelving, respectively. These errors result from two effect. First, the 1.1% error in the ground state is due to a residual thermal excitation of the qubit (corresponding to a qubit temperature of ), as evidenced by the flat shoulder on the ground state S curve at low power. This spurious excitation is also responsible for the same absolute 1.1% error in preparing state . Remaining errors in are thus 2.0 % and 1.1 % without and with shelving. Second, numerical simulations including relaxation during the control pulses, using the independently measured relaxation time , accounts for absolute errors of 0.6% and 1.1% without and with shelving. The shelving case is thus fully understood: errors in are only due to thermal population and relaxation at preparation, and relaxation to during readout is efficiently blocked as proven by the horizontal plateau at . The intrinsic readout fidelity with shelving is thus excellent.
Without shelving, the remaining readout error is 1.4% at the optimal , but with a slow increase of as it approaches 1. This behavior is not understood and quantum simulation of the JBA + excited qubit dynamics is needed to address this question. Nevertheless, to infer what would be the intrinsic readout fidelity in absence of preparation errors and extra relaxation at readout, we reconstruct ideal S-curves: for the ground state, the lower part is replaced by the S-curve measured for the qubit excited state and shifted in power to remove the effect of residual thermal excitation; for the excited state, its upper part is replaced by the one measured in the ground state and shifted in power to remove the effect of relaxation at readout. These ideal S-curves, illustrated by thin solid and dotted lines in Fig. 2(d), give intrinsic readout errors lower than both for the ground and excited states.
We now discuss the simultaneous readout of the four qubits. Given the lack of individual transmon tunability, a magnetic field leading to not too large detunings was applied. In addition, longer readout pulses with 50 ns measurement step and 2 µs latching step are used, as shown in Fig. 4(a). The measurement outcomes for the four qubits prepared with control pulses close to , and with shelving only for and (34) are shown in Fig. 3. The density plots in the planes are shown with their best separatrix between switching and non-switching events. As illustrated in Fig. 3(c), the switching histograms measured along an axis perpendicular to the separatrix show a good separation, albeit smaller than obtained at the optimal working point of each cell.
Having characterized simultaneous readout of the four qubits, we now include qubit drive (see Fig. 4). For simplicity, the control pulses are not applied simultaneously in order to avoid having to take into account the qubit ac-Stark shift resulting from other qubit drives. The control and readout pulses are shown in Fig. 4(a). The switching curves of the four JBAs are shown in Fig. 4(b) after no qubit pulse, and after a pulse without or with shelving. Rabi oscillations of the four qubits, measured at the optimal powers indicated in Fig. 4(b) are shown in Fig. 4(c). This data shows that JBA readout is compatible with qubit driving and simultaneous multiplexed operation. The overall performance of our multiplexed JBA is thus comparable with that achieved using linear dispersive readout and parametric amplifiers (22), albeit with larger errors not due to the readout method itself.
A natural question that arises is the maximum number of transmons that multiplexed JBA could handle. Indeed, due the non-linear character of JBAs, bifurcation of a given JBA can be affected by the dynamics of other JBAs that are close in frequency. How close their frequencies can be without inducing readout crosstalk is not known. In the present setup, this phenomenon was quantified by preparing in or and in a superposition )/. The difference between the values of for the two states gives a crosstalk of only . This low value shows that a JBA frequency separation of is conservative, and therefore that more qubits could be read out in parallel.
In conclusion, multiplexed JBA readout of transmons has an excellent intrinsic readout fidelity when shelving is used, and is compatible with driving and reading transmons in a small qubit register. Its scalability, limited by the interactions between JBAs with close frequencies, is still under investigation, but the present results suggest that reading out a ten-qubit register is possible.
Acknowledgements.We gratefully acknowledge discussions within the Quantronics group, and technical support from P. Orfila, P. Senat, J.C. Tack, and Dominique Duet. This work was supported by the European FP7 QIPC project ScaleQIT, by the CCQED network, and by the NSERC of Canada.
Appendix A Sample fabrication
The sample is fabricated on a sapphire substrate in a two-step lithography process. The transmission line and the readout resonators are first patterned in a Niobium film using optical lithography and reactive ion etching. The transmons and JBA junctions are then fabricated by electron lithography and double-angle evaporation of aluminum through a suspended shadow-mask, with intermediate oxidation.
Appendix B Generation of control and readout pulses
The microwave control pulses at frequencies are obtained by translating the frequency of a single carrier using the technique of single sideband mixing: using an IQ mixer, the carrier is multiplied by two signals I and Q delivered by an arbitrary waveform generator (AWG). I and Q are a sum of signals at frequencies , with suitable envelopes and phases. Another mixer is used to produce the JBA drive signals in the same way, that is by IQ mixing a carrier with a sum of signals at frequencies . Figure 1(a) of the main text illustrates the setup used.
Appendix C Demodulation scheme
The four JBA’s contributions to the output readout signal are obttained by the following demodulation scheme. An analog demodulation at the readout carrier frequency is first performed. The resulting signal is then digitized at with a analog bandwidth that widely covers the frequency range spanned by the four JBAs; it is then demodulated numerically by a dedicated PC that direct multiplies it with cosine functions at frequencies and average the result. The outcome of a readout sequence is four points in the in-phase and quadrature plane (one for each JBA frequency ), as shown in Fig. 3(b).
Appendix D Characterization of simultaneous readout
The pairs of clouds of the four JBAs, shown in Fig. 3 of the main text, are displayed in Fig. 2 in separated frames for clarity. In addition, the standard deviation of the switching probability for all cells [see panel (e)] is shown to decrease as expected for independent events.
- Y. Nakamura, Yu. A. Pashkin, and J. S. Tsai1, Nature 398, 786 (1999).
- D. Vion, A. Aassime, A. Cottet, P. Joyez, H. Pothier, C. Urbina, D. Esteve, and M. H. Devoret, Science 296, 886 (2002)
- J. Koch, Terri M. Yu, Jay Gambetta, A. A. Houck, D. I. Schuster, J. Majer, Alexandre Blais, M. H. Devoret,S. M. Girvin, and R. J. Schoelkopf, Phys. Rev. A 76, 042319 (2007).
- J. A. Schreier, A. A. Houck, Jens Koch, D. I. Schuster, B. R. Johnson, J. M. Chow, J. M. Gambetta, J. Majer, L. Frunzio, M. H. Devoret, S. M. Girvin, and R. J. Schoelkopf, Phys. Rev. B 77, 180502 (2008).
- Hanhee Paik, D. I. Schuster, Lev S. Bishop, G. Kirchmair, G. Catelani, A. P. Sears, B. R. Johnson, M. J. Reagor, L. Frunzio, L. I. Glazman, S. M. Girvin, M. H. Devoret, and R. J. Schoelkopf Phys. Rev. Lett. 107, 240501 (2011).
- A. Dewes, F. R. Ong, V. Schmitt, R. Lauro, N. Boulant, P. Bertet, D. Vion, and D. Esteve, Phys. Rev. Lett. 108, 057002 (2012).
- R. Barends, J. Kelly, A. Megrant, A. Veitia, D. Sank, E. Jeffrey, T. C. White, J. Mutus, A. G. Fowler, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, C. Neill, P. O’Malley, P. Roushan, A. Vainsencher, J. Wenner, A. N. Korotkov, A. N. Cleland and John M. Martinis, Nature , 500 (2014).
- T. Yamamoto, M. Neeley, E. Lucero, R. C. Bialczak, J. Kelly, M. Lenander, M. Mariantoni, A. D. O’Connell, D. Sank, H. Wang, M. Weides, J. Wenner, Y. Yin, A. N. Cleland, and J. M. Martinis, Phys. Rev. B 82, 184515 (2010).
- A. Dewes, R. Lauro, F.R. Ong, V. Schmitt, P. Milman, P. Bertet, D. Vion, and D. Esteve, Phys. Rev. B 85, 140503 (2012).
- Erik Lucero, R. Barends, Y. Chen, J. Kelly, M. Mariantoni, A. Megrant, P. O’Malley, D. Sank, A. Vainsencher, J. Wenner, T. White, Y. Yin, A. N. Cleland and John M. Martinis, Nature Physics 8, 719-723 (2012).
- L. Steffen, Y. Salathe, M. Oppliger, P. Kurpiers, M. Baur, C. Lang, C. Eichler, G. Puebla-Hellmann, A. Fedorov, and A. Wallraff, Nature, 319 (2013).
- D. Ristè, M. Dukalski, C.A. Watson, G. de Lange, M.J. Tiggelman, Ya.M. Blanter, K.W. Lehnert, R.N. Schouten, and L. DiCarlo, Nature , 350 (2013).
- N. Roch, M. E. Schwartz, F. Motzoi, C. Macklin, R. Vijay, A. W. Eddins, A. N. Korotkov, K. B. Whaley, M. Sarovar, and I. Siddiqi, PRL 112, 170501 (2014)
- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, UK, 2000).
- M. H. Devoret and R. J. Schoelkopf, Science 339, 1169 (2013).
- A. Blais, J. Gambetta, A. Wallraff, D.I. Schuster, S.M. Girvin, M.H. Devoret, and R.J. Schoelkopf. Phys Rev A 75, 032329 (2007).
- A. Blais, J. Gambetta, A. Wallraff, D.I. Schuster, S.M. Girvin, M.H. Devoret, and R.J. Schoelkopf, Phys. Rev. Lett. 95, 060501 (2005).
- M. A. Castellanos-Beltran1, K. D. Irwin, G. C. Hilton, L. R. Vale, and K. W. Lehnert, Nature Physics 4, 929 (2008).
- M. Jerger, S. Poletto, P. Macha, U. Hübner, E. Il’ichev, and A. V. Ustinov, Appl. Phys. Lett. 101, 042604 (2012).
- N. Roch, M. E. Schwartz, F. Motzoi, C. Macklin, R. Vijay, A. W. Eddins, A. N. Korotkov, K. B. Whaley, M. Sarovar, and I. Siddiqi. Phys. Rev. Lett. 112, 170501 (2014).
- L. Sun, A. Petrenko, Z. Leghtas, B. Vlastakis, G. Kirchmair, K. M. Sliwa, A. Narla, M. Hatridge, S. Shankar, J. Blumoff, L. Frunzio, M. Mirrahimi, M. H. Devoret, and R. J. Schoelkopf, Nature 511, 444 (2014).
- Evan Jeffrey, Daniel Sank, J. Y. Mutus, T. C. White, J. Kelly, R. Barends, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. Megrant, P. J. J. O’Malley, C. Neill, P. Roushan, A. Vainsencher, J. Wenner, A. N. Cleland, and John M. Martinis Phys. Rev. Lett. 112, 190504 (2014).
- C. M. Quintana, A. Megrant, Z. Chen, A. Dunsworth, B. Chiaro, R. Barends, B. Campbell, Yu Chen, I.-C. Hoi, E. Jeffrey, J. Kelly, J. Y. Mutus, P. J. J. O’Malley, C. Neill, P. Roushan, D. Sank, A. Vainsencher, J. Wenner, T. C. White, A. N. Cleland, and John M. Martinis, arXiv:1407.4769 (2014).
- E. Manucharyan, E. Boaknin, M. Metcalfe, R. Vijay, I. Siddiqi, and M. H. Devoret, Phys. Rev. B 76, 014524, (2007).
- F. Mallet, Florian R. Ong, A. Palacios-Laloy, F. Nguyen, P. Bertet, D. Vion, and D. Esteve, Nature Physics 5, 791 (2009).
- P. C. de Groot, A. F. van Loo, J. Lisenfeld, R. N. Schouten, A. Lupascu, C. J. P. M Harmans, and J. E. Mooij, Appl. Phys. Lett. 96, 123508, (2010).
- Because a new readout can only start after the resonator field has decayed, this method is better suited for single-shot readout than for continuous measurements of a qubit (20).
- See supplemental material at…
- has one of its two Josephson junctions open and is consequently not tunable.
- F. R. Ong, M. Boissonneault, F. Mallet, A. Palacios-Laloy, A. Dewes, A. C. Doherty, A. Blais, P. Bertet, D. Vion, and D. Esteve, Phys. Rev. Lett. 106, 167002, (2011).
- M. Boissonneault, A. C. Doherty, F. R. Ong, P. Bertet, D. Vion, D. Esteve, and A. Blais Phys. Rev. A 85, 022305 (2012).
- This blockade occurs because the direct relaxation from state to involves a very small matrix element; consequently, the decay to results from to the two relaxation processes and in series, and varies quadratically at short time, as with . Note however that shelving takes the qubit out of the computational Hilbert space and thus makes the readout destructive.
- Consequently, we do not use the DRAG correction technique used in J. M. Chow, L. DiCarlo, J. M. Gambetta, F. Motzoi, L. Frunzio, S. M. Girvin, and R. J. Schoelkopf, Phys Rev A 82, 040305 (2010).
- Shelving was neither used for qubit because being too close from , it would have driven qubit , nor for qubit whose frequency was outside the bandpass of the driving line.